axmol/external/edtaa3func/edtaa3func.h

/*
Copyright (C) 2009 Stefan Gustavson (stefan.gustavson@gmail.com)

This software is distributed under the permissive "MIT License":

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.
 */
 
 /*
 * edtaa3()
 *
 * Sweep-and-update Euclidean distance transform of an
 * image. Positive pixels are treated as object pixels,
 * zero or negative pixels are treated as background.
 * An attempt is made to treat antialiased edges correctly.
 * The input image must have pixels in the range [0,1],
 * and the antialiased image should be a box-filter
 * sampling of the ideal, crisp edge.
 * If the antialias region is more than 1 pixel wide,
 * the result from this transform will be inaccurate.
 *
 * By Stefan Gustavson (stefan.gustavson@gmail.com).
 *
 * Originally written in 1994, based on a verbal
 * description of Per-Erik Danielsson's SSED8 algorithm
 * as presented in the PhD dissertation of Ingemar
 * Ragnemalm. This is Per-Erik Danielsson's scanline
 * scheme from 1979 - I only implemented it in C.
 *
 * Updated in 2004 to treat border pixels correctly,
 * and cleaned up the code to improve readability.
 *
 * Updated in 2009 to handle anti-aliased edges,
 * as published in the article "Anti-aliased Euclidean
 * distance transform" by Stefan Gustavson and Robin Strand,
 * Pattern Recognition Letters 32 (2011) 252<EFBFBD>C257.
 *
 * Updated in 2011 to avoid a corner case causing an
 * infinite loop for some input data.
 *
*/

#ifndef __EDTAA3FUNC_H__
#define __EDTAA3FUNC_H__

#ifdef __cplusplus
extern "C" {
#endif


#include <math.h>


/*
 * Compute the local gradient at edge pixels using convolution filters.
 * The gradient is computed only at edge pixels. At other places in the
 * image, it is never used, and it's mostly zero anyway.
 */
void computegradient(double *img, int w, int h, double *gx, double *gy);

/*
 * A somewhat tricky function to approximate the distance to an edge in a
 * certain pixel, with consideration to either the local gradient (gx,gy)
 * or the direction to the pixel (dx,dy) and the pixel greyscale value a.
 * The latter alternative, using (dx,dy), is the metric used by edtaa2().
 * Using a local estimate of the edge gradient (gx,gy) yields much better
 * accuracy at and near edges, and reduces the error even at distant pixels
 * provided that the gradient direction is accurately estimated.
 */
double edgedf(double gx, double gy, double a);


double distaa3(double *img, double *gximg, double *gyimg, int w, int c, int xc, int yc, int xi, int yi);

// Shorthand macro: add ubiquitous parameters dist, gx, gy, img and w and call distaa3()
#define DISTAA(c,xc,yc,xi,yi) (distaa3(img, gx, gy, w, c, xc, yc, xi, yi))

void edtaa3(double *img, double *gx, double *gy, int w, int h, short *distx, short *disty, double *dist);


#ifdef __cplusplus
}
#endif

#endif // __EDTAA3FUNC_H__