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@@ -0,0 +1,577 @@
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+/*
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+ * Copyright 2009 Stefan Gustavson ([email protected])
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+ * All rights reserved.
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+ *
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+ * Redistribution and use in source and binary forms, with or without
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+ * modification, are permitted provided that the following conditions are met:
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+ *
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+ * 1. Redistributions of source code must retain the above copyright notice,
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+ * this list of conditions and the following disclaimer.
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+ *
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+ * 2. Redistributions in binary form must reproduce the above copyright
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+ * notice, this list of conditions and the following disclaimer in the
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+ * documentation and/or other materials provided with the distribution.
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+ *
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+ * THIS SOFTWARE IS PROVIDED BY STEFAN GUSTAVSON ''AS IS'' AND ANY EXPRESS OR
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+ * IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF
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+ * MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO
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+ * EVENT SHALL STEFAN GUSTAVSON OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT,
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+ * INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
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+ * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
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+ * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
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+ * ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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+ * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF
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+ * THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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+ *
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+ * The views and conclusions contained in the software and documentation are
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+ * those of the authors and should not be interpreted as representing official
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+ * policies, either expressed or implied, of Stefan Gustavson.
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+ *
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+ *
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+ * edtaa3()
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+ *
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+ * Sweep-and-update Euclidean distance transform of an
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+ * image. Positive pixels are treated as object pixels,
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+ * zero or negative pixels are treated as background.
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+ * An attempt is made to treat antialiased edges correctly.
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+ * The input image must have pixels in the range [0,1],
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+ * and the antialiased image should be a box-filter
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+ * sampling of the ideal, crisp edge.
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+ * If the antialias region is more than 1 pixel wide,
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+ * the result from this transform will be inaccurate.
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+ *
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+ * By Stefan Gustavson ([email protected]).
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+ *
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+ * Originally written in 1994, based on a verbal
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+ * description of the SSED8 algorithm published in the
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+ * PhD dissertation of Ingemar Ragnemalm. This is his
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+ * algorithm, I only implemented it in C.
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+ *
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+ * Updated in 2004 to treat border pixels correctly,
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+ * and cleaned up the code to improve readability.
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+ *
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+ * Updated in 2009 to handle anti-aliased edges.
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+ *
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+ * Updated in 2011 to avoid a corner case infinite loop.
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+ *
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+ */
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+#include <math.h>
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+
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+
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+/*
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+ * Compute the local gradient at edge pixels using convolution filters.
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+ * The gradient is computed only at edge pixels. At other places in the
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+ * image, it is never used, and it's mostly zero anyway.
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+ */
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+void computegradient(double *img, int w, int h, double *gx, double *gy)
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+{
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+ int i,j,k;
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+ double glength;
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+#define SQRT2 1.4142136
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+ for(i = 1; i < h-1; i++) { // Avoid edges where the kernels would spill over
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+ for(j = 1; j < w-1; j++) {
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+ k = i*w + j;
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+ if((img[k]>0.0) && (img[k]<1.0)) { // Compute gradient for edge pixels only
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+ gx[k] = -img[k-w-1] - SQRT2*img[k-1] - img[k+w-1] + img[k-w+1] + SQRT2*img[k+1] + img[k+w+1];
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+ gy[k] = -img[k-w-1] - SQRT2*img[k-w] - img[k+w-1] + img[k-w+1] + SQRT2*img[k+w] + img[k+w+1];
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+ glength = gx[k]*gx[k] + gy[k]*gy[k];
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+ if(glength > 0.0) { // Avoid division by zero
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+ glength = sqrt(glength);
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+ gx[k]=gx[k]/glength;
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+ gy[k]=gy[k]/glength;
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+ }
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+ }
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+ }
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+ }
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+ // TODO: Compute reasonable values for gx, gy also around the image edges.
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+ // (These are zero now, which reduces the accuracy for a 1-pixel wide region
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+ // around the image edge.) 2x2 kernels would be suitable for this.
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+}
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+
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+/*
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+ * A somewhat tricky function to approximate the distance to an edge in a
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+ * certain pixel, with consideration to either the local gradient (gx,gy)
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+ * or the direction to the pixel (dx,dy) and the pixel greyscale value a.
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+ * The latter alternative, using (dx,dy), is the metric used by edtaa2().
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+ * Using a local estimate of the edge gradient (gx,gy) yields much better
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+ * accuracy at and near edges, and reduces the error even at distant pixels
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+ * provided that the gradient direction is accurately estimated.
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+ */
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+double edgedf(double gx, double gy, double a)
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+{
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+ double df, glength, temp, a1;
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+
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+ if ((gx == 0) || (gy == 0)) { // Either A) gu or gv are zero, or B) both
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+ df = 0.5-a; // Linear approximation is A) correct or B) a fair guess
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+ } else {
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+ glength = sqrt(gx*gx + gy*gy);
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+ if(glength>0) {
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+ gx = gx/glength;
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+ gy = gy/glength;
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+ }
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+ /* Everything is symmetric wrt sign and transposition,
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+ * so move to first octant (gx>=0, gy>=0, gx>=gy) to
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+ * avoid handling all possible edge directions.
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+ */
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+ gx = fabs(gx);
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+ gy = fabs(gy);
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+ if(gx<gy) {
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+ temp = gx;
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+ gx = gy;
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+ gy = temp;
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+ }
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+ a1 = 0.5*gy/gx;
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+ if (a < a1) { // 0 <= a < a1
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+ df = 0.5*(gx + gy) - sqrt(2.0*gx*gy*a);
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+ } else if (a < (1.0-a1)) { // a1 <= a <= 1-a1
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+ df = (0.5-a)*gx;
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+ } else { // 1-a1 < a <= 1
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+ df = -0.5*(gx + gy) + sqrt(2.0*gx*gy*(1.0-a));
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+ }
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+ }
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+ return df;
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+}
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+
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+double distaa3(double *img, double *gximg, double *gyimg, int w, int c, int xc, int yc, int xi, int yi)
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+{
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+ double di, df, dx, dy, gx, gy, a;
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+ int closest;
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+
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+ closest = c-xc-yc*w; // Index to the edge pixel pointed to from c
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+ a = img[closest]; // Grayscale value at the edge pixel
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+ gx = gximg[closest]; // X gradient component at the edge pixel
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+ gy = gyimg[closest]; // Y gradient component at the edge pixel
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+
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+ if(a > 1.0) a = 1.0;
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+ if(a < 0.0) a = 0.0; // Clip grayscale values outside the range [0,1]
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+ if(a == 0.0) return 1000000.0; // Not an object pixel, return "very far" ("don't know yet")
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+
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+ dx = (double)xi;
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+ dy = (double)yi;
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+ di = sqrt(dx*dx + dy*dy); // Length of integer vector, like a traditional EDT
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+ if(di==0) { // Use local gradient only at edges
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+ // Estimate based on local gradient only
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+ df = edgedf(gx, gy, a);
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+ } else {
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+ // Estimate gradient based on direction to edge (accurate for large di)
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+ df = edgedf(dx, dy, a);
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+ }
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+ return di + df; // Same metric as edtaa2, except at edges (where di=0)
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+}
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+
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+// Shorthand macro: add ubiquitous parameters dist, gx, gy, img and w and call distaa3()
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+#define DISTAA(c,xc,yc,xi,yi) (distaa3(img, gx, gy, w, c, xc, yc, xi, yi))
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+
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+void edtaa3(double *img, double *gx, double *gy, int w, int h, short *distx, short *disty, double *dist)
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+{
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+ int x, y, i, c;
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+ int offset_u, offset_ur, offset_r, offset_rd,
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+ offset_d, offset_dl, offset_l, offset_lu;
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+ double olddist, newdist;
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+ int cdistx, cdisty, newdistx, newdisty;
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+ int changed;
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+ double epsilon = 1e-3;
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+
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+ /* Initialize index offsets for the current image width */
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+ offset_u = -w;
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+ offset_ur = -w+1;
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+ offset_r = 1;
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+ offset_rd = w+1;
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+ offset_d = w;
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+ offset_dl = w-1;
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+ offset_l = -1;
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+ offset_lu = -w-1;
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+
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+ /* Initialize the distance images */
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+ for(i=0; i<w*h; i++) {
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+ distx[i] = 0; // At first, all pixels point to
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+ disty[i] = 0; // themselves as the closest known.
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+ if(img[i] <= 0.0)
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+ {
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+ dist[i]= 1000000.0; // Big value, means "not set yet"
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+ }
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+ else if (img[i]<1.0) {
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+ dist[i] = edgedf(gx[i], gy[i], img[i]); // Gradient-assisted estimate
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+ }
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+ else {
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+ dist[i]= 0.0; // Inside the object
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+ }
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+ }
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+
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+ /* Perform the transformation */
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+ do
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+ {
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+ changed = 0;
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+
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+ /* Scan rows, except first row */
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+ for(y=1; y<h; y++)
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+ {
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+
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+ /* move index to leftmost pixel of current row */
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+ i = y*w;
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+
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+ /* scan right, propagate distances from above & left */
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+
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+ /* Leftmost pixel is special, has no left neighbors */
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+ olddist = dist[i];
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+ if(olddist > 0) // If non-zero distance or not set yet
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+ {
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+ c = i + offset_u; // Index of candidate for testing
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+ cdistx = distx[c];
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+ cdisty = disty[c];
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+ newdistx = cdistx;
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+ newdisty = cdisty+1;
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+ newdist = DISTAA(c, cdistx, cdisty, newdistx, newdisty);
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+ if(newdist < olddist-epsilon)
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+ {
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+ distx[i]=newdistx;
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+ disty[i]=newdisty;
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+ dist[i]=newdist;
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+ olddist=newdist;
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+ changed = 1;
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+ }
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+
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+ c = i+offset_ur;
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+ cdistx = distx[c];
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+ cdisty = disty[c];
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+ newdistx = cdistx-1;
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+ newdisty = cdisty+1;
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+ newdist = DISTAA(c, cdistx, cdisty, newdistx, newdisty);
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+ if(newdist < olddist-epsilon)
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+ {
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+ distx[i]=newdistx;
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+ disty[i]=newdisty;
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+ dist[i]=newdist;
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+ changed = 1;
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+ }
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+ }
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+ i++;
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+
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+ /* Middle pixels have all neighbors */
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+ for(x=1; x<w-1; x++, i++)
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+ {
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+ olddist = dist[i];
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+ if(olddist <= 0) continue; // No need to update further
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+
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+ c = i+offset_l;
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+ cdistx = distx[c];
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+ cdisty = disty[c];
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+ newdistx = cdistx+1;
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+ newdisty = cdisty;
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+ newdist = DISTAA(c, cdistx, cdisty, newdistx, newdisty);
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+ if(newdist < olddist-epsilon)
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+ {
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+ distx[i]=newdistx;
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+ disty[i]=newdisty;
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+ dist[i]=newdist;
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+ olddist=newdist;
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+ changed = 1;
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+ }
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+
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+ c = i+offset_lu;
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+ cdistx = distx[c];
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+ cdisty = disty[c];
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+ newdistx = cdistx+1;
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+ newdisty = cdisty+1;
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+ newdist = DISTAA(c, cdistx, cdisty, newdistx, newdisty);
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+ if(newdist < olddist-epsilon)
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+ {
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+ distx[i]=newdistx;
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+ disty[i]=newdisty;
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+ dist[i]=newdist;
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+ olddist=newdist;
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+ changed = 1;
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+ }
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+
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+ c = i+offset_u;
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+ cdistx = distx[c];
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+ cdisty = disty[c];
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+ newdistx = cdistx;
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+ newdisty = cdisty+1;
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+ newdist = DISTAA(c, cdistx, cdisty, newdistx, newdisty);
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+ if(newdist < olddist-epsilon)
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+ {
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+ distx[i]=newdistx;
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+ disty[i]=newdisty;
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+ dist[i]=newdist;
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+ olddist=newdist;
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+ changed = 1;
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+ }
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+
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+ c = i+offset_ur;
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+ cdistx = distx[c];
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+ cdisty = disty[c];
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+ newdistx = cdistx-1;
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+ newdisty = cdisty+1;
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+ newdist = DISTAA(c, cdistx, cdisty, newdistx, newdisty);
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+ if(newdist < olddist-epsilon)
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+ {
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+ distx[i]=newdistx;
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+ disty[i]=newdisty;
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+ dist[i]=newdist;
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+ changed = 1;
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+ }
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+ }
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+
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+ /* Rightmost pixel of row is special, has no right neighbors */
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+ olddist = dist[i];
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+ if(olddist > 0) // If not already zero distance
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+ {
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+ c = i+offset_l;
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+ cdistx = distx[c];
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+ cdisty = disty[c];
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+ newdistx = cdistx+1;
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+ newdisty = cdisty;
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+ newdist = DISTAA(c, cdistx, cdisty, newdistx, newdisty);
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+ if(newdist < olddist-epsilon)
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+ {
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+ distx[i]=newdistx;
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+ disty[i]=newdisty;
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+ dist[i]=newdist;
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+ olddist=newdist;
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+ changed = 1;
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+ }
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+
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+ c = i+offset_lu;
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+ cdistx = distx[c];
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+ cdisty = disty[c];
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+ newdistx = cdistx+1;
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+ newdisty = cdisty+1;
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+ newdist = DISTAA(c, cdistx, cdisty, newdistx, newdisty);
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+ if(newdist < olddist-epsilon)
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+ {
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+ distx[i]=newdistx;
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+ disty[i]=newdisty;
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+ dist[i]=newdist;
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+ olddist=newdist;
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+ changed = 1;
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+ }
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+
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+ c = i+offset_u;
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+ cdistx = distx[c];
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+ cdisty = disty[c];
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+ newdistx = cdistx;
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+ newdisty = cdisty+1;
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+ newdist = DISTAA(c, cdistx, cdisty, newdistx, newdisty);
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+ if(newdist < olddist-epsilon)
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+ {
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+ distx[i]=newdistx;
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+ disty[i]=newdisty;
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+ dist[i]=newdist;
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+ changed = 1;
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+ }
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+ }
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+
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+ /* Move index to second rightmost pixel of current row. */
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+ /* Rightmost pixel is skipped, it has no right neighbor. */
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+ i = y*w + w-2;
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+
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+ /* scan left, propagate distance from right */
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+ for(x=w-2; x>=0; x--, i--)
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+ {
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+ olddist = dist[i];
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+ if(olddist <= 0) continue; // Already zero distance
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+
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+ c = i+offset_r;
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+ cdistx = distx[c];
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+ cdisty = disty[c];
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+ newdistx = cdistx-1;
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+ newdisty = cdisty;
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+ newdist = DISTAA(c, cdistx, cdisty, newdistx, newdisty);
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+ if(newdist < olddist-epsilon)
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+ {
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+ distx[i]=newdistx;
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+ disty[i]=newdisty;
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+ dist[i]=newdist;
|
|
|
+ changed = 1;
|
|
|
+ }
|
|
|
+ }
|
|
|
+ }
|
|
|
+
|
|
|
+ /* Scan rows in reverse order, except last row */
|
|
|
+ for(y=h-2; y>=0; y--)
|
|
|
+ {
|
|
|
+ /* move index to rightmost pixel of current row */
|
|
|
+ i = y*w + w-1;
|
|
|
+
|
|
|
+ /* Scan left, propagate distances from below & right */
|
|
|
+
|
|
|
+ /* Rightmost pixel is special, has no right neighbors */
|
|
|
+ olddist = dist[i];
|
|
|
+ if(olddist > 0) // If not already zero distance
|
|
|
+ {
|
|
|
+ c = i+offset_d;
|
|
|
+ cdistx = distx[c];
|
|
|
+ cdisty = disty[c];
|
|
|
+ newdistx = cdistx;
|
|
|
+ newdisty = cdisty-1;
|
|
|
+ newdist = DISTAA(c, cdistx, cdisty, newdistx, newdisty);
|
|
|
+ if(newdist < olddist-epsilon)
|
|
|
+ {
|
|
|
+ distx[i]=newdistx;
|
|
|
+ disty[i]=newdisty;
|
|
|
+ dist[i]=newdist;
|
|
|
+ olddist=newdist;
|
|
|
+ changed = 1;
|
|
|
+ }
|
|
|
+
|
|
|
+ c = i+offset_dl;
|
|
|
+ cdistx = distx[c];
|
|
|
+ cdisty = disty[c];
|
|
|
+ newdistx = cdistx+1;
|
|
|
+ newdisty = cdisty-1;
|
|
|
+ newdist = DISTAA(c, cdistx, cdisty, newdistx, newdisty);
|
|
|
+ if(newdist < olddist-epsilon)
|
|
|
+ {
|
|
|
+ distx[i]=newdistx;
|
|
|
+ disty[i]=newdisty;
|
|
|
+ dist[i]=newdist;
|
|
|
+ changed = 1;
|
|
|
+ }
|
|
|
+ }
|
|
|
+ i--;
|
|
|
+
|
|
|
+ /* Middle pixels have all neighbors */
|
|
|
+ for(x=w-2; x>0; x--, i--)
|
|
|
+ {
|
|
|
+ olddist = dist[i];
|
|
|
+ if(olddist <= 0) continue; // Already zero distance
|
|
|
+
|
|
|
+ c = i+offset_r;
|
|
|
+ cdistx = distx[c];
|
|
|
+ cdisty = disty[c];
|
|
|
+ newdistx = cdistx-1;
|
|
|
+ newdisty = cdisty;
|
|
|
+ newdist = DISTAA(c, cdistx, cdisty, newdistx, newdisty);
|
|
|
+ if(newdist < olddist-epsilon)
|
|
|
+ {
|
|
|
+ distx[i]=newdistx;
|
|
|
+ disty[i]=newdisty;
|
|
|
+ dist[i]=newdist;
|
|
|
+ olddist=newdist;
|
|
|
+ changed = 1;
|
|
|
+ }
|
|
|
+
|
|
|
+ c = i+offset_rd;
|
|
|
+ cdistx = distx[c];
|
|
|
+ cdisty = disty[c];
|
|
|
+ newdistx = cdistx-1;
|
|
|
+ newdisty = cdisty-1;
|
|
|
+ newdist = DISTAA(c, cdistx, cdisty, newdistx, newdisty);
|
|
|
+ if(newdist < olddist-epsilon)
|
|
|
+ {
|
|
|
+ distx[i]=newdistx;
|
|
|
+ disty[i]=newdisty;
|
|
|
+ dist[i]=newdist;
|
|
|
+ olddist=newdist;
|
|
|
+ changed = 1;
|
|
|
+ }
|
|
|
+
|
|
|
+ c = i+offset_d;
|
|
|
+ cdistx = distx[c];
|
|
|
+ cdisty = disty[c];
|
|
|
+ newdistx = cdistx;
|
|
|
+ newdisty = cdisty-1;
|
|
|
+ newdist = DISTAA(c, cdistx, cdisty, newdistx, newdisty);
|
|
|
+ if(newdist < olddist-epsilon)
|
|
|
+ {
|
|
|
+ distx[i]=newdistx;
|
|
|
+ disty[i]=newdisty;
|
|
|
+ dist[i]=newdist;
|
|
|
+ olddist=newdist;
|
|
|
+ changed = 1;
|
|
|
+ }
|
|
|
+
|
|
|
+ c = i+offset_dl;
|
|
|
+ cdistx = distx[c];
|
|
|
+ cdisty = disty[c];
|
|
|
+ newdistx = cdistx+1;
|
|
|
+ newdisty = cdisty-1;
|
|
|
+ newdist = DISTAA(c, cdistx, cdisty, newdistx, newdisty);
|
|
|
+ if(newdist < olddist-epsilon)
|
|
|
+ {
|
|
|
+ distx[i]=newdistx;
|
|
|
+ disty[i]=newdisty;
|
|
|
+ dist[i]=newdist;
|
|
|
+ changed = 1;
|
|
|
+ }
|
|
|
+ }
|
|
|
+ /* Leftmost pixel is special, has no left neighbors */
|
|
|
+ olddist = dist[i];
|
|
|
+ if(olddist > 0) // If not already zero distance
|
|
|
+ {
|
|
|
+ c = i+offset_r;
|
|
|
+ cdistx = distx[c];
|
|
|
+ cdisty = disty[c];
|
|
|
+ newdistx = cdistx-1;
|
|
|
+ newdisty = cdisty;
|
|
|
+ newdist = DISTAA(c, cdistx, cdisty, newdistx, newdisty);
|
|
|
+ if(newdist < olddist-epsilon)
|
|
|
+ {
|
|
|
+ distx[i]=newdistx;
|
|
|
+ disty[i]=newdisty;
|
|
|
+ dist[i]=newdist;
|
|
|
+ olddist=newdist;
|
|
|
+ changed = 1;
|
|
|
+ }
|
|
|
+
|
|
|
+ c = i+offset_rd;
|
|
|
+ cdistx = distx[c];
|
|
|
+ cdisty = disty[c];
|
|
|
+ newdistx = cdistx-1;
|
|
|
+ newdisty = cdisty-1;
|
|
|
+ newdist = DISTAA(c, cdistx, cdisty, newdistx, newdisty);
|
|
|
+ if(newdist < olddist-epsilon)
|
|
|
+ {
|
|
|
+ distx[i]=newdistx;
|
|
|
+ disty[i]=newdisty;
|
|
|
+ dist[i]=newdist;
|
|
|
+ olddist=newdist;
|
|
|
+ changed = 1;
|
|
|
+ }
|
|
|
+
|
|
|
+ c = i+offset_d;
|
|
|
+ cdistx = distx[c];
|
|
|
+ cdisty = disty[c];
|
|
|
+ newdistx = cdistx;
|
|
|
+ newdisty = cdisty-1;
|
|
|
+ newdist = DISTAA(c, cdistx, cdisty, newdistx, newdisty);
|
|
|
+ if(newdist < olddist-epsilon)
|
|
|
+ {
|
|
|
+ distx[i]=newdistx;
|
|
|
+ disty[i]=newdisty;
|
|
|
+ dist[i]=newdist;
|
|
|
+ changed = 1;
|
|
|
+ }
|
|
|
+ }
|
|
|
+
|
|
|
+ /* Move index to second leftmost pixel of current row. */
|
|
|
+ /* Leftmost pixel is skipped, it has no left neighbor. */
|
|
|
+ i = y*w + 1;
|
|
|
+ for(x=1; x<w; x++, i++)
|
|
|
+ {
|
|
|
+ /* scan right, propagate distance from left */
|
|
|
+ olddist = dist[i];
|
|
|
+ if(olddist <= 0) continue; // Already zero distance
|
|
|
+
|
|
|
+ c = i+offset_l;
|
|
|
+ cdistx = distx[c];
|
|
|
+ cdisty = disty[c];
|
|
|
+ newdistx = cdistx+1;
|
|
|
+ newdisty = cdisty;
|
|
|
+ newdist = DISTAA(c, cdistx, cdisty, newdistx, newdisty);
|
|
|
+ if(newdist < olddist-epsilon)
|
|
|
+ {
|
|
|
+ distx[i]=newdistx;
|
|
|
+ disty[i]=newdisty;
|
|
|
+ dist[i]=newdist;
|
|
|
+ changed = 1;
|
|
|
+ }
|
|
|
+ }
|
|
|
+ }
|
|
|
+ }
|
|
|
+ while(changed); // Sweep until no more updates are made
|
|
|
+
|
|
|
+ /* The transformation is completed. */
|
|
|
+
|
|
|
+}
|