1540 lines
38 KiB
C++
1540 lines
38 KiB
C++
/* Copyright (C) 2001-2015 Peter Selinger.
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* This file is part of Potrace. It is free software and it is covered
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* by the GNU General Public License. See the file COPYING for details. */
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/* transform jaggy paths into smooth curves */
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#include <stdio.h>
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#include <math.h>
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#include <stdlib.h>
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#include <string.h>
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#include "potracelib.h"
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#include "curve.h"
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#include "lists.h"
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#include "auxiliary.h"
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#include "trace.h"
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#include "progress.h"
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#define INFTY 10000000 /* it suffices that this is longer than any
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* path; it need not be really infinite */
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#define COS179 -0.999847695156 /* the cosine of 179 degrees */
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/* ---------------------------------------------------------------------- */
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#define SAFE_CALLOC( var, n, typ ) \
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if( ( var = (typ*) calloc( n, sizeof(typ) ) ) == NULL ) \
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goto calloc_error
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/* ---------------------------------------------------------------------- */
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/* auxiliary functions */
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/* return a direction that is 90 degrees counterclockwise from p2-p0,
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* but then restricted to one of the major wind directions (n, nw, w, etc) */
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static inline point_t dorth_infty( dpoint_t p0, dpoint_t p2 )
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{
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point_t r;
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r.y = sign( p2.x - p0.x );
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r.x = -sign( p2.y - p0.y );
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return r;
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}
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/* return (p1-p0)x(p2-p0), the area of the parallelogram */
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static inline double dpara( dpoint_t p0, dpoint_t p1, dpoint_t p2 )
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{
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double x1, y1, x2, y2;
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x1 = p1.x - p0.x;
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y1 = p1.y - p0.y;
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x2 = p2.x - p0.x;
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y2 = p2.y - p0.y;
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return x1 * y2 - x2 * y1;
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}
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/* ddenom/dpara have the property that the square of radius 1 centered
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* at p1 intersects the line p0p2 iff |dpara(p0,p1,p2)| <= ddenom(p0,p2) */
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static inline double ddenom( dpoint_t p0, dpoint_t p2 )
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{
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point_t r = dorth_infty( p0, p2 );
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return r.y * (p2.x - p0.x) - r.x * (p2.y - p0.y);
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}
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/* return 1 if a <= b < c < a, in a cyclic sense (mod n) */
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static inline int cyclic( int a, int b, int c )
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{
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if( a<=c )
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{
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return a<=b && b<c;
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}
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else
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{
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return a<=b || b<c;
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}
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}
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/* determine the center and slope of the line i..j. Assume i<j. Needs
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* "sum" components of p to be set. */
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static void pointslope( privpath_t* pp, int i, int j, dpoint_t* ctr, dpoint_t* dir )
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{
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/* assume i<j */
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int n = pp->len;
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sums_t* sums = pp->sums;
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double x, y, x2, xy, y2;
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double k;
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double a, b, c, lambda2, l;
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int r = 0; /* rotations from i to j */
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while( j>=n )
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{
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j -= n;
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r += 1;
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}
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while( i>=n )
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{
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i -= n;
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r -= 1;
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}
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while( j<0 )
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{
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j += n;
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r -= 1;
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}
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while( i<0 )
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{
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i += n;
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r += 1;
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}
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x = sums[j + 1].x - sums[i].x + r * sums[n].x;
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y = sums[j + 1].y - sums[i].y + r * sums[n].y;
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x2 = sums[j + 1].x2 - sums[i].x2 + r * sums[n].x2;
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xy = sums[j + 1].xy - sums[i].xy + r * sums[n].xy;
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y2 = sums[j + 1].y2 - sums[i].y2 + r * sums[n].y2;
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k = j + 1 - i + r * n;
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ctr->x = x / k;
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ctr->y = y / k;
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a = (x2 - (double) x * x / k) / k;
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b = (xy - (double) x * y / k) / k;
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c = (y2 - (double) y * y / k) / k;
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lambda2 = ( a + c + sqrt( (a - c) * (a - c) + 4 * b * b ) ) / 2; /* larger e.value */
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/* now find e.vector for lambda2 */
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a -= lambda2;
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c -= lambda2;
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if( fabs( a ) >= fabs( c ) )
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{
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l = sqrt( a * a + b * b );
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if( l!=0 )
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{
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dir->x = -b / l;
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dir->y = a / l;
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}
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}
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else
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{
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l = sqrt( c * c + b * b );
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if( l!=0 )
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{
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dir->x = -c / l;
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dir->y = b / l;
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}
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}
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if( l==0 )
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{
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dir->x = dir->y = 0; /* sometimes this can happen when k=4:
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* the two eigenvalues coincide */
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}
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}
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/* the type of (affine) quadratic forms, represented as symmetric 3x3
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* matrices. The value of the quadratic form at a vector (x,y) is v^t
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* Q v, where v = (x,y,1)^t. */
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typedef double quadform_t[3][3];
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/* Apply quadratic form Q to vector w = (w.x,w.y) */
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static inline double quadform( quadform_t Q, dpoint_t w )
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{
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double v[3];
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int i, j;
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double sum;
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v[0] = w.x;
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v[1] = w.y;
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v[2] = 1;
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sum = 0.0;
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for( i = 0; i<3; i++ )
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{
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for( j = 0; j<3; j++ )
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{
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sum += v[i] * Q[i][j] * v[j];
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}
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}
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return sum;
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}
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/* calculate p1 x p2 */
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static inline int xprod( point_t p1, point_t p2 )
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{
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return p1.x * p2.y - p1.y * p2.x;
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}
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/* calculate (p1-p0)x(p3-p2) */
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static inline double cprod( dpoint_t p0, dpoint_t p1, dpoint_t p2, dpoint_t p3 )
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{
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double x1, y1, x2, y2;
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x1 = p1.x - p0.x;
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y1 = p1.y - p0.y;
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x2 = p3.x - p2.x;
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y2 = p3.y - p2.y;
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return x1 * y2 - x2 * y1;
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}
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/* calculate (p1-p0)*(p2-p0) */
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static inline double iprod( dpoint_t p0, dpoint_t p1, dpoint_t p2 )
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{
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double x1, y1, x2, y2;
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x1 = p1.x - p0.x;
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y1 = p1.y - p0.y;
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x2 = p2.x - p0.x;
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y2 = p2.y - p0.y;
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return x1 * x2 + y1 * y2;
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}
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/* calculate (p1-p0)*(p3-p2) */
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static inline double iprod1( dpoint_t p0, dpoint_t p1, dpoint_t p2, dpoint_t p3 )
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{
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double x1, y1, x2, y2;
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x1 = p1.x - p0.x;
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y1 = p1.y - p0.y;
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x2 = p3.x - p2.x;
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y2 = p3.y - p2.y;
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return x1 * x2 + y1 * y2;
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}
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/* calculate distance between two points */
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static inline double ddist( dpoint_t p, dpoint_t q )
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{
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return sqrt( sq( p.x - q.x ) + sq( p.y - q.y ) );
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}
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/* calculate point of a bezier curve */
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static inline dpoint_t bezier( double t, dpoint_t p0, dpoint_t p1, dpoint_t p2, dpoint_t p3 )
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{
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double s = 1 - t;
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dpoint_t res;
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/* Note: a good optimizing compiler (such as gcc-3) reduces the
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* following to 16 multiplications, using common subexpression
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* elimination. */
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res.x = s * s * s * p0.x + 3 * (s * s * t) * p1.x + 3 * (t * t * s) * p2.x + t * t * t * p3.x;
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res.y = s * s * s * p0.y + 3 * (s * s * t) * p1.y + 3 * (t * t * s) * p2.y + t * t * t * p3.y;
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return res;
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}
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/* calculate the point t in [0..1] on the (convex) bezier curve
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* (p0,p1,p2,p3) which is tangent to q1-q0. Return -1.0 if there is no
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* solution in [0..1]. */
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static double tangent( dpoint_t p0, dpoint_t p1, dpoint_t p2, dpoint_t p3, dpoint_t q0,
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dpoint_t q1 )
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{
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double A, B, C; /* (1-t)^2 A + 2(1-t)t B + t^2 C = 0 */
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double a, b, c; /* a t^2 + b t + c = 0 */
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double d, s, r1, r2;
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A = cprod( p0, p1, q0, q1 );
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B = cprod( p1, p2, q0, q1 );
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C = cprod( p2, p3, q0, q1 );
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a = A - 2 * B + C;
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b = -2 * A + 2 * B;
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c = A;
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d = b * b - 4 * a * c;
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if( a==0 || d<0 )
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{
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return -1.0;
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}
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s = sqrt( d );
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r1 = (-b + s) / (2 * a);
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r2 = (-b - s) / (2 * a);
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if( r1 >= 0 && r1 <= 1 )
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{
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return r1;
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}
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else if( r2 >= 0 && r2 <= 1 )
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{
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return r2;
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}
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else
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{
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return -1.0;
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}
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}
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/* ---------------------------------------------------------------------- */
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/* Preparation: fill in the sum* fields of a path (used for later
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* rapid summing). Return 0 on success, 1 with errno set on
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* failure. */
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static int calc_sums( privpath_t* pp )
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{
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int i, x, y;
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int n = pp->len;
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SAFE_CALLOC( pp->sums, pp->len + 1, sums_t );
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/* origin */
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pp->x0 = pp->pt[0].x;
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pp->y0 = pp->pt[0].y;
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/* preparatory computation for later fast summing */
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pp->sums[0].x2 = pp->sums[0].xy = pp->sums[0].y2 = pp->sums[0].x = pp->sums[0].y = 0;
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for( i = 0; i<n; i++ )
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{
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x = pp->pt[i].x - pp->x0;
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y = pp->pt[i].y - pp->y0;
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pp->sums[i + 1].x = pp->sums[i].x + x;
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pp->sums[i + 1].y = pp->sums[i].y + y;
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pp->sums[i + 1].x2 = pp->sums[i].x2 + x * x;
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pp->sums[i + 1].xy = pp->sums[i].xy + x * y;
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pp->sums[i + 1].y2 = pp->sums[i].y2 + y * y;
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}
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return 0;
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calloc_error:
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return 1;
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}
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/* ---------------------------------------------------------------------- */
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/* Stage 1: determine the straight subpaths (Sec. 2.2.1). Fill in the
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* "lon" component of a path object (based on pt/len). For each i,
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* lon[i] is the furthest index such that a straight line can be drawn
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* from i to lon[i]. Return 1 on error with errno set, else 0. */
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/* this algorithm depends on the fact that the existence of straight
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* subpaths is a triplewise property. I.e., there exists a straight
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* line through squares i0,...,in iff there exists a straight line
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* through i,j,k, for all i0<=i<j<k<=in. (Proof?) */
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/* this implementation of calc_lon is O(n^2). It replaces an older
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* O(n^3) version. A "constraint" means that future points must
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* satisfy xprod(constraint[0], cur) >= 0 and xprod(constraint[1],
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* cur) <= 0. */
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/* Remark for Potrace 1.1: the current implementation of calc_lon is
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* more complex than the implementation found in Potrace 1.0, but it
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* is considerably faster. The introduction of the "nc" data structure
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* means that we only have to test the constraints for "corner"
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* points. On a typical input file, this speeds up the calc_lon
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* function by a factor of 31.2, thereby decreasing its time share
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* within the overall Potrace algorithm from 72.6% to 7.82%, and
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* speeding up the overall algorithm by a factor of 3.36. On another
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* input file, calc_lon was sped up by a factor of 6.7, decreasing its
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* time share from 51.4% to 13.61%, and speeding up the overall
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* algorithm by a factor of 1.78. In any case, the savings are
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* substantial. */
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/* returns 0 on success, 1 on error with errno set */
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static int calc_lon( privpath_t* pp )
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{
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point_t* pt = pp->pt;
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int n = pp->len;
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int i, j, k, k1;
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int ct[4], dir;
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point_t constraint[2];
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point_t cur;
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point_t off;
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int* pivk = NULL; /* pivk[n] */
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int* nc = NULL; /* nc[n]: next corner */
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point_t dk; /* direction of k-k1 */
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int a, b, c, d;
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SAFE_CALLOC( pivk, n, int );
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SAFE_CALLOC( nc, n, int );
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/* initialize the nc data structure. Point from each point to the
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* furthest future point to which it is connected by a vertical or
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* horizontal segment. We take advantage of the fact that there is
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* always a direction change at 0 (due to the path decomposition
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* algorithm). But even if this were not so, there is no harm, as
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* in practice, correctness does not depend on the word "furthest"
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* above. */
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k = 0;
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for( i = n - 1; i>=0; i-- )
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{
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if( pt[i].x != pt[k].x && pt[i].y != pt[k].y )
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{
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k = i + 1; /* necessarily i<n-1 in this case */
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}
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nc[i] = k;
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}
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SAFE_CALLOC( pp->lon, n, int );
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/* determine pivot points: for each i, let pivk[i] be the furthest k
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* such that all j with i<j<k lie on a line connecting i,k. */
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for( i = n - 1; i>=0; i-- )
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{
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ct[0] = ct[1] = ct[2] = ct[3] = 0;
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/* keep track of "directions" that have occurred */
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dir = ( 3 + 3 * (pt[mod( i + 1, n )].x - pt[i].x) + (pt[mod( i + 1, n )].y - pt[i].y) ) / 2;
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ct[dir]++;
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constraint[0].x = 0;
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constraint[0].y = 0;
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constraint[1].x = 0;
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constraint[1].y = 0;
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/* find the next k such that no straight line from i to k */
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k = nc[i];
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k1 = i;
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while( 1 )
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{
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dir = ( 3 + 3 * sign( pt[k].x - pt[k1].x ) + sign( pt[k].y - pt[k1].y ) ) / 2;
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ct[dir]++;
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/* if all four "directions" have occurred, cut this path */
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if( ct[0] && ct[1] && ct[2] && ct[3] )
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{
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pivk[i] = k1;
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goto foundk;
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}
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cur.x = pt[k].x - pt[i].x;
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cur.y = pt[k].y - pt[i].y;
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/* see if current constraint is violated */
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if( xprod( constraint[0], cur ) < 0 || xprod( constraint[1], cur ) > 0 )
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{
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goto constraint_viol;
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}
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/* else, update constraint */
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if( abs( cur.x ) <= 1 && abs( cur.y ) <= 1 )
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{
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/* no constraint */
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}
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else
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{
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off.x = cur.x + ( ( cur.y>=0 && (cur.y>0 || cur.x<0) ) ? 1 : -1 );
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off.y = cur.y + ( ( cur.x<=0 && (cur.x<0 || cur.y<0) ) ? 1 : -1 );
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if( xprod( constraint[0], off ) >= 0 )
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{
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constraint[0] = off;
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}
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off.x = cur.x + ( ( cur.y<=0 && (cur.y<0 || cur.x<0) ) ? 1 : -1 );
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off.y = cur.y + ( ( cur.x>=0 && (cur.x>0 || cur.y<0) ) ? 1 : -1 );
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if( xprod( constraint[1], off ) <= 0 )
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{
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constraint[1] = off;
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}
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}
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k1 = k;
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k = nc[k1];
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if( !cyclic( k, i, k1 ) )
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{
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break;
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}
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}
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constraint_viol:
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/* k1 was the last "corner" satisfying the current constraint, and
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* k is the first one violating it. We now need to find the last
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* point along k1..k which satisfied the constraint. */
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dk.x = sign( pt[k].x - pt[k1].x );
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dk.y = sign( pt[k].y - pt[k1].y );
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cur.x = pt[k1].x - pt[i].x;
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cur.y = pt[k1].y - pt[i].y;
|
|
/* find largest integer j such that xprod(constraint[0], cur+j*dk)
|
|
* >= 0 and xprod(constraint[1], cur+j*dk) <= 0. Use bilinearity
|
|
* of xprod. */
|
|
a = xprod( constraint[0], cur );
|
|
b = xprod( constraint[0], dk );
|
|
c = xprod( constraint[1], cur );
|
|
d = xprod( constraint[1], dk );
|
|
/* find largest integer j such that a+j*b>=0 and c+j*d<=0. This
|
|
* can be solved with integer arithmetic. */
|
|
j = INFTY;
|
|
|
|
if( b<0 )
|
|
{
|
|
j = floordiv( a, -b );
|
|
}
|
|
|
|
if( d>0 )
|
|
{
|
|
j = min( j, floordiv( -c, d ) );
|
|
}
|
|
|
|
pivk[i] = mod( k1 + j, n );
|
|
foundk:
|
|
;
|
|
} /* for i */
|
|
|
|
/* clean up: for each i, let lon[i] be the largest k such that for
|
|
* all i' with i<=i'<k, i'<k<=pivk[i']. */
|
|
|
|
j = pivk[n - 1];
|
|
pp->lon[n - 1] = j;
|
|
|
|
for( i = n - 2; i>=0; i-- )
|
|
{
|
|
if( cyclic( i + 1, pivk[i], j ) )
|
|
{
|
|
j = pivk[i];
|
|
}
|
|
|
|
pp->lon[i] = j;
|
|
}
|
|
|
|
for( i = n - 1; cyclic( mod( i + 1, n ), j, pp->lon[i] ); i-- )
|
|
{
|
|
pp->lon[i] = j;
|
|
}
|
|
|
|
free( pivk );
|
|
free( nc );
|
|
return 0;
|
|
|
|
calloc_error:
|
|
free( pivk );
|
|
free( nc );
|
|
return 1;
|
|
}
|
|
|
|
|
|
/* ---------------------------------------------------------------------- */
|
|
/* Stage 2: calculate the optimal polygon (Sec. 2.2.2-2.2.4). */
|
|
|
|
/* Auxiliary function: calculate the penalty of an edge from i to j in
|
|
* the given path. This needs the "lon" and "sum*" data. */
|
|
|
|
static double penalty3( privpath_t* pp, int i, int j )
|
|
{
|
|
int n = pp->len;
|
|
point_t* pt = pp->pt;
|
|
sums_t* sums = pp->sums;
|
|
|
|
/* assume 0<=i<j<=n */
|
|
double x, y, x2, xy, y2;
|
|
double k;
|
|
double a, b, c, s;
|
|
double px, py, ex, ey;
|
|
|
|
int r = 0; /* rotations from i to j */
|
|
|
|
if( j>=n )
|
|
{
|
|
j -= n;
|
|
r = 1;
|
|
}
|
|
|
|
/* critical inner loop: the "if" gives a 4.6 percent speedup */
|
|
if( r == 0 )
|
|
{
|
|
x = sums[j + 1].x - sums[i].x;
|
|
y = sums[j + 1].y - sums[i].y;
|
|
x2 = sums[j + 1].x2 - sums[i].x2;
|
|
xy = sums[j + 1].xy - sums[i].xy;
|
|
y2 = sums[j + 1].y2 - sums[i].y2;
|
|
k = j + 1 - i;
|
|
}
|
|
else
|
|
{
|
|
x = sums[j + 1].x - sums[i].x + sums[n].x;
|
|
y = sums[j + 1].y - sums[i].y + sums[n].y;
|
|
x2 = sums[j + 1].x2 - sums[i].x2 + sums[n].x2;
|
|
xy = sums[j + 1].xy - sums[i].xy + sums[n].xy;
|
|
y2 = sums[j + 1].y2 - sums[i].y2 + sums[n].y2;
|
|
k = j + 1 - i + n;
|
|
}
|
|
|
|
px = (pt[i].x + pt[j].x) / 2.0 - pt[0].x;
|
|
py = (pt[i].y + pt[j].y) / 2.0 - pt[0].y;
|
|
ey = (pt[j].x - pt[i].x);
|
|
ex = -(pt[j].y - pt[i].y);
|
|
|
|
a = ( (x2 - 2 * x * px) / k + px * px );
|
|
b = ( (xy - x * py - y * px) / k + px * py );
|
|
c = ( (y2 - 2 * y * py) / k + py * py );
|
|
|
|
s = ex * ex * a + 2 * ex * ey * b + ey * ey * c;
|
|
|
|
return sqrt( s );
|
|
}
|
|
|
|
|
|
/* find the optimal polygon. Fill in the m and po components. Return 1
|
|
* on failure with errno set, else 0. Non-cyclic version: assumes i=0
|
|
* is in the polygon. Fixme: implement cyclic version. */
|
|
static int bestpolygon( privpath_t* pp )
|
|
{
|
|
int i, j, m, k;
|
|
int n = pp->len;
|
|
double* pen = NULL; /* pen[n+1]: penalty vector */
|
|
int* prev = NULL; /* prev[n+1]: best path pointer vector */
|
|
int* clip0 = NULL; /* clip0[n]: longest segment pointer, non-cyclic */
|
|
int* clip1 = NULL; /* clip1[n+1]: backwards segment pointer, non-cyclic */
|
|
int* seg0 = NULL; /* seg0[m+1]: forward segment bounds, m<=n */
|
|
int* seg1 = NULL; /* seg1[m+1]: backward segment bounds, m<=n */
|
|
double thispen;
|
|
double best;
|
|
int c;
|
|
|
|
SAFE_CALLOC( pen, n + 1, double );
|
|
SAFE_CALLOC( prev, n + 1, int );
|
|
SAFE_CALLOC( clip0, n, int );
|
|
SAFE_CALLOC( clip1, n + 1, int );
|
|
SAFE_CALLOC( seg0, n + 1, int );
|
|
SAFE_CALLOC( seg1, n + 1, int );
|
|
|
|
/* calculate clipped paths */
|
|
for( i = 0; i<n; i++ )
|
|
{
|
|
c = mod( pp->lon[mod( i - 1, n )] - 1, n );
|
|
|
|
if( c == i )
|
|
{
|
|
c = mod( i + 1, n );
|
|
}
|
|
|
|
if( c < i )
|
|
{
|
|
clip0[i] = n;
|
|
}
|
|
else
|
|
{
|
|
clip0[i] = c;
|
|
}
|
|
}
|
|
|
|
/* calculate backwards path clipping, non-cyclic. j <= clip0[i] iff
|
|
* clip1[j] <= i, for i,j=0..n. */
|
|
j = 1;
|
|
|
|
for( i = 0; i<n; i++ )
|
|
{
|
|
while( j <= clip0[i] )
|
|
{
|
|
clip1[j] = i;
|
|
j++;
|
|
}
|
|
}
|
|
|
|
/* calculate seg0[j] = longest path from 0 with j segments */
|
|
i = 0;
|
|
|
|
for( j = 0; i<n; j++ )
|
|
{
|
|
seg0[j] = i;
|
|
i = clip0[i];
|
|
}
|
|
|
|
seg0[j] = n;
|
|
m = j;
|
|
|
|
/* calculate seg1[j] = longest path to n with m-j segments */
|
|
i = n;
|
|
|
|
for( j = m; j>0; j-- )
|
|
{
|
|
seg1[j] = i;
|
|
i = clip1[i];
|
|
}
|
|
|
|
seg1[0] = 0;
|
|
|
|
/* now find the shortest path with m segments, based on penalty3 */
|
|
/* note: the outer 2 loops jointly have at most n iterations, thus
|
|
* the worst-case behavior here is quadratic. In practice, it is
|
|
* close to linear since the inner loop tends to be short. */
|
|
pen[0] = 0;
|
|
|
|
for( j = 1; j<=m; j++ )
|
|
{
|
|
for( i = seg1[j]; i<=seg0[j]; i++ )
|
|
{
|
|
best = -1;
|
|
|
|
for( k = seg0[j - 1]; k>=clip1[i]; k-- )
|
|
{
|
|
thispen = penalty3( pp, k, i ) + pen[k];
|
|
|
|
if( best < 0 || thispen < best )
|
|
{
|
|
prev[i] = k;
|
|
best = thispen;
|
|
}
|
|
}
|
|
|
|
pen[i] = best;
|
|
}
|
|
}
|
|
|
|
pp->m = m;
|
|
SAFE_CALLOC( pp->po, m, int );
|
|
|
|
/* read off shortest path */
|
|
for( i = n, j = m - 1; i>0; j-- )
|
|
{
|
|
i = prev[i];
|
|
pp->po[j] = i;
|
|
}
|
|
|
|
free( pen );
|
|
free( prev );
|
|
free( clip0 );
|
|
free( clip1 );
|
|
free( seg0 );
|
|
free( seg1 );
|
|
return 0;
|
|
|
|
calloc_error:
|
|
free( pen );
|
|
free( prev );
|
|
free( clip0 );
|
|
free( clip1 );
|
|
free( seg0 );
|
|
free( seg1 );
|
|
return 1;
|
|
}
|
|
|
|
|
|
/* ---------------------------------------------------------------------- */
|
|
/* Stage 3: vertex adjustment (Sec. 2.3.1). */
|
|
|
|
/* Adjust vertices of optimal polygon: calculate the intersection of
|
|
* the two "optimal" line segments, then move it into the unit square
|
|
* if it lies outside. Return 1 with errno set on error; 0 on
|
|
* success. */
|
|
|
|
static int adjust_vertices( privpath_t* pp )
|
|
{
|
|
int m = pp->m;
|
|
int* po = pp->po;
|
|
int n = pp->len;
|
|
point_t* pt = pp->pt;
|
|
int x0 = pp->x0;
|
|
int y0 = pp->y0;
|
|
|
|
dpoint_t* ctr = NULL; /* ctr[m] */
|
|
dpoint_t* dir = NULL; /* dir[m] */
|
|
quadform_t* q = NULL; /* q[m] */
|
|
double v[3];
|
|
double d;
|
|
int i, j, k, l;
|
|
dpoint_t s;
|
|
int r;
|
|
|
|
SAFE_CALLOC( ctr, m, dpoint_t );
|
|
SAFE_CALLOC( dir, m, dpoint_t );
|
|
SAFE_CALLOC( q, m, quadform_t );
|
|
|
|
r = privcurve_init( &pp->curve, m );
|
|
|
|
if( r )
|
|
{
|
|
goto calloc_error;
|
|
}
|
|
|
|
/* calculate "optimal" point-slope representation for each line
|
|
* segment */
|
|
for( i = 0; i<m; i++ )
|
|
{
|
|
j = po[mod( i + 1, m )];
|
|
j = mod( j - po[i], n ) + po[i];
|
|
pointslope( pp, po[i], j, &ctr[i], &dir[i] );
|
|
}
|
|
|
|
/* represent each line segment as a singular quadratic form; the
|
|
* distance of a point (x,y) from the line segment will be
|
|
* (x,y,1)Q(x,y,1)^t, where Q=q[i]. */
|
|
for( i = 0; i<m; i++ )
|
|
{
|
|
d = sq( dir[i].x ) + sq( dir[i].y );
|
|
|
|
if( d == 0.0 )
|
|
{
|
|
for( j = 0; j<3; j++ )
|
|
{
|
|
for( k = 0; k<3; k++ )
|
|
{
|
|
q[i][j][k] = 0;
|
|
}
|
|
}
|
|
}
|
|
else
|
|
{
|
|
v[0] = dir[i].y;
|
|
v[1] = -dir[i].x;
|
|
v[2] = -v[1] * ctr[i].y - v[0] * ctr[i].x;
|
|
|
|
for( l = 0; l<3; l++ )
|
|
{
|
|
for( k = 0; k<3; k++ )
|
|
{
|
|
q[i][l][k] = v[l] * v[k] / d;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
/* now calculate the "intersections" of consecutive segments.
|
|
* Instead of using the actual intersection, we find the point
|
|
* within a given unit square which minimizes the square distance to
|
|
* the two lines. */
|
|
for( i = 0; i<m; i++ )
|
|
{
|
|
quadform_t Q;
|
|
dpoint_t w;
|
|
double dx, dy;
|
|
double det;
|
|
double min, cand; /* minimum and candidate for minimum of quad. form */
|
|
double xmin, ymin; /* coordinates of minimum */
|
|
int z;
|
|
|
|
/* let s be the vertex, in coordinates relative to x0/y0 */
|
|
s.x = pt[po[i]].x - x0;
|
|
s.y = pt[po[i]].y - y0;
|
|
|
|
/* intersect segments i-1 and i */
|
|
|
|
j = mod( i - 1, m );
|
|
|
|
/* add quadratic forms */
|
|
for( l = 0; l<3; l++ )
|
|
{
|
|
for( k = 0; k<3; k++ )
|
|
{
|
|
Q[l][k] = q[j][l][k] + q[i][l][k];
|
|
}
|
|
}
|
|
|
|
while( 1 )
|
|
{
|
|
/* minimize the quadratic form Q on the unit square */
|
|
/* find intersection */
|
|
|
|
#ifdef HAVE_GCC_LOOP_BUG
|
|
/* work around gcc bug #12243 */
|
|
free( NULL );
|
|
#endif
|
|
|
|
det = Q[0][0] * Q[1][1] - Q[0][1] * Q[1][0];
|
|
|
|
if( det != 0.0 )
|
|
{
|
|
w.x = (-Q[0][2] * Q[1][1] + Q[1][2] * Q[0][1]) / det;
|
|
w.y = ( Q[0][2] * Q[1][0] - Q[1][2] * Q[0][0]) / det;
|
|
break;
|
|
}
|
|
|
|
/* matrix is singular - lines are parallel. Add another,
|
|
* orthogonal axis, through the center of the unit square */
|
|
if( Q[0][0]>Q[1][1] )
|
|
{
|
|
v[0] = -Q[0][1];
|
|
v[1] = Q[0][0];
|
|
}
|
|
else if( Q[1][1] )
|
|
{
|
|
v[0] = -Q[1][1];
|
|
v[1] = Q[1][0];
|
|
}
|
|
else
|
|
{
|
|
v[0] = 1;
|
|
v[1] = 0;
|
|
}
|
|
|
|
d = sq( v[0] ) + sq( v[1] );
|
|
v[2] = -v[1] * s.y - v[0] * s.x;
|
|
|
|
for( l = 0; l<3; l++ )
|
|
{
|
|
for( k = 0; k<3; k++ )
|
|
{
|
|
Q[l][k] += v[l] * v[k] / d;
|
|
}
|
|
}
|
|
}
|
|
|
|
dx = fabs( w.x - s.x );
|
|
dy = fabs( w.y - s.y );
|
|
|
|
if( dx <= .5 && dy <= .5 )
|
|
{
|
|
pp->curve.vertex[i].x = w.x + x0;
|
|
pp->curve.vertex[i].y = w.y + y0;
|
|
continue;
|
|
}
|
|
|
|
/* the minimum was not in the unit square; now minimize quadratic
|
|
* on boundary of square */
|
|
min = quadform( Q, s );
|
|
xmin = s.x;
|
|
ymin = s.y;
|
|
|
|
if( Q[0][0] == 0.0 )
|
|
{
|
|
goto fixx;
|
|
}
|
|
|
|
for( z = 0; z<2; z++ ) /* value of the y-coordinate */
|
|
{
|
|
w.y = s.y - 0.5 + z;
|
|
w.x = -(Q[0][1] * w.y + Q[0][2]) / Q[0][0];
|
|
dx = fabs( w.x - s.x );
|
|
cand = quadform( Q, w );
|
|
|
|
if( dx <= .5 && cand < min )
|
|
{
|
|
min = cand;
|
|
xmin = w.x;
|
|
ymin = w.y;
|
|
}
|
|
}
|
|
|
|
fixx:
|
|
|
|
if( Q[1][1] == 0.0 )
|
|
{
|
|
goto corners;
|
|
}
|
|
|
|
for( z = 0; z<2; z++ ) /* value of the x-coordinate */
|
|
{
|
|
w.x = s.x - 0.5 + z;
|
|
w.y = -(Q[1][0] * w.x + Q[1][2]) / Q[1][1];
|
|
dy = fabs( w.y - s.y );
|
|
cand = quadform( Q, w );
|
|
|
|
if( dy <= .5 && cand < min )
|
|
{
|
|
min = cand;
|
|
xmin = w.x;
|
|
ymin = w.y;
|
|
}
|
|
}
|
|
|
|
corners:
|
|
|
|
/* check four corners */
|
|
for( l = 0; l<2; l++ )
|
|
{
|
|
for( k = 0; k<2; k++ )
|
|
{
|
|
w.x = s.x - 0.5 + l;
|
|
w.y = s.y - 0.5 + k;
|
|
cand = quadform( Q, w );
|
|
|
|
if( cand < min )
|
|
{
|
|
min = cand;
|
|
xmin = w.x;
|
|
ymin = w.y;
|
|
}
|
|
}
|
|
}
|
|
|
|
pp->curve.vertex[i].x = xmin + x0;
|
|
pp->curve.vertex[i].y = ymin + y0;
|
|
continue;
|
|
}
|
|
|
|
free( ctr );
|
|
free( dir );
|
|
free( q );
|
|
return 0;
|
|
|
|
calloc_error:
|
|
free( ctr );
|
|
free( dir );
|
|
free( q );
|
|
return 1;
|
|
}
|
|
|
|
|
|
/* ---------------------------------------------------------------------- */
|
|
/* Stage 4: smoothing and corner analysis (Sec. 2.3.3) */
|
|
|
|
/* reverse orientation of a path */
|
|
static void reverse( privcurve_t* curve )
|
|
{
|
|
int m = curve->n;
|
|
int i, j;
|
|
dpoint_t tmp;
|
|
|
|
for( i = 0, j = m - 1; i<j; i++, j-- )
|
|
{
|
|
tmp = curve->vertex[i];
|
|
curve->vertex[i] = curve->vertex[j];
|
|
curve->vertex[j] = tmp;
|
|
}
|
|
}
|
|
|
|
|
|
/* Always succeeds */
|
|
static void smooth( privcurve_t* curve, double alphamax )
|
|
{
|
|
int m = curve->n;
|
|
|
|
int i, j, k;
|
|
double dd, denom, alpha;
|
|
dpoint_t p2, p3, p4;
|
|
|
|
/* examine each vertex and find its best fit */
|
|
for( i = 0; i<m; i++ )
|
|
{
|
|
j = mod( i + 1, m );
|
|
k = mod( i + 2, m );
|
|
p4 = interval( 1 / 2.0, curve->vertex[k], curve->vertex[j] );
|
|
|
|
denom = ddenom( curve->vertex[i], curve->vertex[k] );
|
|
|
|
if( denom != 0.0 )
|
|
{
|
|
dd = dpara( curve->vertex[i], curve->vertex[j], curve->vertex[k] ) / denom;
|
|
dd = fabs( dd );
|
|
alpha = dd>1 ? (1 - 1.0 / dd) : 0;
|
|
alpha = alpha / 0.75;
|
|
}
|
|
else
|
|
{
|
|
alpha = 4 / 3.0;
|
|
}
|
|
|
|
curve->alpha0[j] = alpha; /* remember "original" value of alpha */
|
|
|
|
if( alpha >= alphamax ) /* pointed corner */
|
|
{
|
|
curve->tag[j] = POTRACE_CORNER;
|
|
curve->c[j][1] = curve->vertex[j];
|
|
curve->c[j][2] = p4;
|
|
}
|
|
else
|
|
{
|
|
if( alpha < 0.55 )
|
|
{
|
|
alpha = 0.55;
|
|
}
|
|
else if( alpha > 1 )
|
|
{
|
|
alpha = 1;
|
|
}
|
|
|
|
p2 = interval( .5 + .5 * alpha, curve->vertex[i], curve->vertex[j] );
|
|
p3 = interval( .5 + .5 * alpha, curve->vertex[k], curve->vertex[j] );
|
|
curve->tag[j] = POTRACE_CURVETO;
|
|
curve->c[j][0] = p2;
|
|
curve->c[j][1] = p3;
|
|
curve->c[j][2] = p4;
|
|
}
|
|
|
|
curve->alpha[j] = alpha; /* store the "cropped" value of alpha */
|
|
curve->beta[j] = 0.5;
|
|
}
|
|
|
|
curve->alphacurve = 1;
|
|
}
|
|
|
|
|
|
/* ---------------------------------------------------------------------- */
|
|
/* Stage 5: Curve optimization (Sec. 2.4) */
|
|
|
|
/* a private type for the result of opti_penalty */
|
|
struct opti_s
|
|
{
|
|
double pen; /* penalty */
|
|
dpoint_t c[2]; /* curve parameters */
|
|
double t, s; /* curve parameters */
|
|
double alpha; /* curve parameter */
|
|
};
|
|
typedef struct opti_s opti_t;
|
|
|
|
/* calculate best fit from i+.5 to j+.5. Assume i<j (cyclically).
|
|
* Return 0 and set badness and parameters (alpha, beta), if
|
|
* possible. Return 1 if impossible. */
|
|
static int opti_penalty( privpath_t* pp,
|
|
int i,
|
|
int j,
|
|
opti_t* res,
|
|
double opttolerance,
|
|
int* convc,
|
|
double* areac )
|
|
{
|
|
int m = pp->curve.n;
|
|
int k, k1, k2, conv, i1;
|
|
double area, alpha, d, d1, d2;
|
|
dpoint_t p0, p1, p2, p3, pt;
|
|
double A, R, A1, A2, A3, A4;
|
|
double s, t;
|
|
|
|
/* check convexity, corner-freeness, and maximum bend < 179 degrees */
|
|
|
|
if( i==j ) /* sanity - a full loop can never be an opticurve */
|
|
{
|
|
return 1;
|
|
}
|
|
|
|
k = i;
|
|
i1 = mod( i + 1, m );
|
|
k1 = mod( k + 1, m );
|
|
conv = convc[k1];
|
|
|
|
if( conv == 0 )
|
|
{
|
|
return 1;
|
|
}
|
|
|
|
d = ddist( pp->curve.vertex[i], pp->curve.vertex[i1] );
|
|
|
|
for( k = k1; k!=j; k = k1 )
|
|
{
|
|
k1 = mod( k + 1, m );
|
|
k2 = mod( k + 2, m );
|
|
|
|
if( convc[k1] != conv )
|
|
{
|
|
return 1;
|
|
}
|
|
|
|
if( sign( cprod( pp->curve.vertex[i], pp->curve.vertex[i1], pp->curve.vertex[k1],
|
|
pp->curve.vertex[k2] ) ) != conv )
|
|
{
|
|
return 1;
|
|
}
|
|
|
|
if( iprod1( pp->curve.vertex[i], pp->curve.vertex[i1], pp->curve.vertex[k1],
|
|
pp->curve.vertex[k2] ) <
|
|
d * ddist( pp->curve.vertex[k1], pp->curve.vertex[k2] ) * COS179 )
|
|
{
|
|
return 1;
|
|
}
|
|
}
|
|
|
|
/* the curve we're working in: */
|
|
p0 = pp->curve.c[mod( i, m )][2];
|
|
p1 = pp->curve.vertex[mod( i + 1, m )];
|
|
p2 = pp->curve.vertex[mod( j, m )];
|
|
p3 = pp->curve.c[mod( j, m )][2];
|
|
|
|
/* determine its area */
|
|
area = areac[j] - areac[i];
|
|
area -= dpara( pp->curve.vertex[0], pp->curve.c[i][2], pp->curve.c[j][2] ) / 2;
|
|
|
|
if( i>=j )
|
|
{
|
|
area += areac[m];
|
|
}
|
|
|
|
/* find intersection o of p0p1 and p2p3. Let t,s such that o =
|
|
* interval(t,p0,p1) = interval(s,p3,p2). Let A be the area of the
|
|
* triangle (p0,o,p3). */
|
|
|
|
A1 = dpara( p0, p1, p2 );
|
|
A2 = dpara( p0, p1, p3 );
|
|
A3 = dpara( p0, p2, p3 );
|
|
/* A4 = dpara(p1, p2, p3); */
|
|
A4 = A1 + A3 - A2;
|
|
|
|
if( A2 == A1 ) /* this should never happen */
|
|
{
|
|
return 1;
|
|
}
|
|
|
|
t = A3 / (A3 - A4);
|
|
s = A2 / (A2 - A1);
|
|
A = A2 * t / 2.0;
|
|
|
|
if( A == 0.0 ) /* this should never happen */
|
|
{
|
|
return 1;
|
|
}
|
|
|
|
R = area / A; /* relative area */
|
|
alpha = 2 - sqrt( 4 - R / 0.3 ); /* overall alpha for p0-o-p3 curve */
|
|
|
|
res->c[0] = interval( t * alpha, p0, p1 );
|
|
res->c[1] = interval( s * alpha, p3, p2 );
|
|
res->alpha = alpha;
|
|
res->t = t;
|
|
res->s = s;
|
|
|
|
p1 = res->c[0];
|
|
p2 = res->c[1]; /* the proposed curve is now (p0,p1,p2,p3) */
|
|
|
|
res->pen = 0;
|
|
|
|
/* calculate penalty */
|
|
/* check tangency with edges */
|
|
for( k = mod( i + 1, m ); k!=j; k = k1 )
|
|
{
|
|
k1 = mod( k + 1, m );
|
|
t = tangent( p0, p1, p2, p3, pp->curve.vertex[k], pp->curve.vertex[k1] );
|
|
|
|
if( t<-.5 )
|
|
{
|
|
return 1;
|
|
}
|
|
|
|
pt = bezier( t, p0, p1, p2, p3 );
|
|
d = ddist( pp->curve.vertex[k], pp->curve.vertex[k1] );
|
|
|
|
if( d == 0.0 ) /* this should never happen */
|
|
{
|
|
return 1;
|
|
}
|
|
|
|
d1 = dpara( pp->curve.vertex[k], pp->curve.vertex[k1], pt ) / d;
|
|
|
|
if( fabs( d1 ) > opttolerance )
|
|
{
|
|
return 1;
|
|
}
|
|
|
|
if( iprod( pp->curve.vertex[k], pp->curve.vertex[k1],
|
|
pt ) < 0 || iprod( pp->curve.vertex[k1], pp->curve.vertex[k], pt ) < 0 )
|
|
{
|
|
return 1;
|
|
}
|
|
|
|
res->pen += sq( d1 );
|
|
}
|
|
|
|
/* check corners */
|
|
for( k = i; k!=j; k = k1 )
|
|
{
|
|
k1 = mod( k + 1, m );
|
|
t = tangent( p0, p1, p2, p3, pp->curve.c[k][2], pp->curve.c[k1][2] );
|
|
|
|
if( t<-.5 )
|
|
{
|
|
return 1;
|
|
}
|
|
|
|
pt = bezier( t, p0, p1, p2, p3 );
|
|
d = ddist( pp->curve.c[k][2], pp->curve.c[k1][2] );
|
|
|
|
if( d == 0.0 ) /* this should never happen */
|
|
{
|
|
return 1;
|
|
}
|
|
|
|
d1 = dpara( pp->curve.c[k][2], pp->curve.c[k1][2], pt ) / d;
|
|
d2 = dpara( pp->curve.c[k][2], pp->curve.c[k1][2], pp->curve.vertex[k1] ) / d;
|
|
d2 *= 0.75 * pp->curve.alpha[k1];
|
|
|
|
if( d2 < 0 )
|
|
{
|
|
d1 = -d1;
|
|
d2 = -d2;
|
|
}
|
|
|
|
if( d1 < d2 - opttolerance )
|
|
{
|
|
return 1;
|
|
}
|
|
|
|
if( d1 < d2 )
|
|
{
|
|
res->pen += sq( d1 - d2 );
|
|
}
|
|
}
|
|
|
|
return 0;
|
|
}
|
|
|
|
|
|
/* optimize the path p, replacing sequences of Bezier segments by a
|
|
* single segment when possible. Return 0 on success, 1 with errno set
|
|
* on failure. */
|
|
static int opticurve( privpath_t* pp, double opttolerance )
|
|
{
|
|
int m = pp->curve.n;
|
|
int* pt = NULL; /* pt[m+1] */
|
|
double* pen = NULL; /* pen[m+1] */
|
|
int* len = NULL; /* len[m+1] */
|
|
opti_t* opt = NULL; /* opt[m+1] */
|
|
int om;
|
|
int i, j, r;
|
|
opti_t o;
|
|
dpoint_t p0;
|
|
int i1;
|
|
double area;
|
|
double alpha;
|
|
double* s = NULL;
|
|
double* t = NULL;
|
|
|
|
int* convc = NULL; /* conv[m]: pre-computed convexities */
|
|
double* areac = NULL; /* cumarea[m+1]: cache for fast area computation */
|
|
|
|
SAFE_CALLOC( pt, m + 1, int );
|
|
SAFE_CALLOC( pen, m + 1, double );
|
|
SAFE_CALLOC( len, m + 1, int );
|
|
SAFE_CALLOC( opt, m + 1, opti_t );
|
|
SAFE_CALLOC( convc, m, int );
|
|
SAFE_CALLOC( areac, m + 1, double );
|
|
|
|
/* pre-calculate convexity: +1 = right turn, -1 = left turn, 0 = corner */
|
|
for( i = 0; i<m; i++ )
|
|
{
|
|
if( pp->curve.tag[i] == POTRACE_CURVETO )
|
|
{
|
|
convc[i] =
|
|
sign( dpara( pp->curve.vertex[mod( i - 1, m )], pp->curve.vertex[i],
|
|
pp->curve.vertex[mod( i + 1, m )] ) );
|
|
}
|
|
else
|
|
{
|
|
convc[i] = 0;
|
|
}
|
|
}
|
|
|
|
/* pre-calculate areas */
|
|
area = 0.0;
|
|
areac[0] = 0.0;
|
|
p0 = pp->curve.vertex[0];
|
|
|
|
for( i = 0; i<m; i++ )
|
|
{
|
|
i1 = mod( i + 1, m );
|
|
|
|
if( pp->curve.tag[i1] == POTRACE_CURVETO )
|
|
{
|
|
alpha = pp->curve.alpha[i1];
|
|
area += 0.3 * alpha * (4 - alpha) * dpara( pp->curve.c[i][2],
|
|
pp->curve.vertex[i1],
|
|
pp->curve.c[i1][2] ) / 2;
|
|
area += dpara( p0, pp->curve.c[i][2], pp->curve.c[i1][2] ) / 2;
|
|
}
|
|
|
|
areac[i + 1] = area;
|
|
}
|
|
|
|
pt[0] = -1;
|
|
pen[0] = 0;
|
|
len[0] = 0;
|
|
|
|
/* Fixme: we always start from a fixed point -- should find the best
|
|
* curve cyclically */
|
|
|
|
for( j = 1; j<=m; j++ )
|
|
{
|
|
/* calculate best path from 0 to j */
|
|
pt[j] = j - 1;
|
|
pen[j] = pen[j - 1];
|
|
len[j] = len[j - 1] + 1;
|
|
|
|
for( i = j - 2; i>=0; i-- )
|
|
{
|
|
r = opti_penalty( pp, i, mod( j, m ), &o, opttolerance, convc, areac );
|
|
|
|
if( r )
|
|
{
|
|
break;
|
|
}
|
|
|
|
if( len[j] > len[i] + 1 || (len[j] == len[i] + 1 && pen[j] > pen[i] + o.pen) )
|
|
{
|
|
pt[j] = i;
|
|
pen[j] = pen[i] + o.pen;
|
|
len[j] = len[i] + 1;
|
|
opt[j] = o;
|
|
}
|
|
}
|
|
}
|
|
|
|
om = len[m];
|
|
r = privcurve_init( &pp->ocurve, om );
|
|
|
|
if( r )
|
|
{
|
|
goto calloc_error;
|
|
}
|
|
|
|
SAFE_CALLOC( s, om, double );
|
|
SAFE_CALLOC( t, om, double );
|
|
|
|
j = m;
|
|
|
|
for( i = om - 1; i>=0; i-- )
|
|
{
|
|
if( pt[j]==j - 1 )
|
|
{
|
|
pp->ocurve.tag[i] = pp->curve.tag[mod( j, m )];
|
|
pp->ocurve.c[i][0] = pp->curve.c[mod( j, m )][0];
|
|
pp->ocurve.c[i][1] = pp->curve.c[mod( j, m )][1];
|
|
pp->ocurve.c[i][2] = pp->curve.c[mod( j, m )][2];
|
|
pp->ocurve.vertex[i] = pp->curve.vertex[mod( j, m )];
|
|
pp->ocurve.alpha[i] = pp->curve.alpha[mod( j, m )];
|
|
pp->ocurve.alpha0[i] = pp->curve.alpha0[mod( j, m )];
|
|
pp->ocurve.beta[i] = pp->curve.beta[mod( j, m )];
|
|
s[i] = t[i] = 1.0;
|
|
}
|
|
else
|
|
{
|
|
pp->ocurve.tag[i] = POTRACE_CURVETO;
|
|
pp->ocurve.c[i][0] = opt[j].c[0];
|
|
pp->ocurve.c[i][1] = opt[j].c[1];
|
|
pp->ocurve.c[i][2] = pp->curve.c[mod( j, m )][2];
|
|
pp->ocurve.vertex[i] = interval( opt[j].s, pp->curve.c[mod( j,
|
|
m )][2],
|
|
pp->curve.vertex[mod( j, m )] );
|
|
pp->ocurve.alpha[i] = opt[j].alpha;
|
|
pp->ocurve.alpha0[i] = opt[j].alpha;
|
|
s[i] = opt[j].s;
|
|
t[i] = opt[j].t;
|
|
}
|
|
|
|
j = pt[j];
|
|
}
|
|
|
|
/* calculate beta parameters */
|
|
for( i = 0; i<om; i++ )
|
|
{
|
|
i1 = mod( i + 1, om );
|
|
pp->ocurve.beta[i] = s[i] / (s[i] + t[i1]);
|
|
}
|
|
|
|
pp->ocurve.alphacurve = 1;
|
|
|
|
free( pt );
|
|
free( pen );
|
|
free( len );
|
|
free( opt );
|
|
free( s );
|
|
free( t );
|
|
free( convc );
|
|
free( areac );
|
|
return 0;
|
|
|
|
calloc_error:
|
|
free( pt );
|
|
free( pen );
|
|
free( len );
|
|
free( opt );
|
|
free( s );
|
|
free( t );
|
|
free( convc );
|
|
free( areac );
|
|
return 1;
|
|
}
|
|
|
|
|
|
/* ---------------------------------------------------------------------- */
|
|
|
|
#define TRY( x ) if( x ) \
|
|
goto try_error
|
|
|
|
/* return 0 on success, 1 on error with errno set. */
|
|
int process_path( path_t* plist, const potrace_param_t* param, progress_t* progress )
|
|
{
|
|
path_t* p;
|
|
double nn = 0, cn = 0;
|
|
|
|
if( progress->callback )
|
|
{
|
|
/* precompute task size for progress estimates */
|
|
nn = 0;
|
|
list_forall( p, plist ) {
|
|
nn += p->priv->len;
|
|
}
|
|
cn = 0;
|
|
}
|
|
|
|
/* call downstream function with each path */
|
|
list_forall( p, plist ) {
|
|
TRY( calc_sums( p->priv ) );
|
|
TRY( calc_lon( p->priv ) );
|
|
TRY( bestpolygon( p->priv ) );
|
|
TRY( adjust_vertices( p->priv ) );
|
|
|
|
if( p->sign == '-' ) /* reverse orientation of negative paths */
|
|
{
|
|
reverse( &p->priv->curve );
|
|
}
|
|
|
|
smooth( &p->priv->curve, param->alphamax );
|
|
|
|
if( param->opticurve )
|
|
{
|
|
TRY( opticurve( p->priv, param->opttolerance ) );
|
|
p->priv->fcurve = &p->priv->ocurve;
|
|
}
|
|
else
|
|
{
|
|
p->priv->fcurve = &p->priv->curve;
|
|
}
|
|
|
|
privcurve_to_curve( p->priv->fcurve, &p->curve );
|
|
|
|
if( progress->callback )
|
|
{
|
|
cn += p->priv->len;
|
|
progress_update( cn / nn, progress );
|
|
}
|
|
}
|
|
|
|
progress_update( 1.0, progress );
|
|
|
|
return 0;
|
|
|
|
try_error:
|
|
return 1;
|
|
}
|