www.pudn.com > segment.zip > filter.h
/* simple filters */ #ifndef FILTER_H #define FILTER_H #include#include #include "image.h" #include "misc.h" #include "convolve.h" #include "imconv.h" #define WIDTH 4.0 /* normalize mask so it integrates to one */ static void normalize(std::vector &mask) { int len = mask.size(); float sum = 0; for (int i = 1; i < len; i++) { sum += fabs(mask[i]); } sum = 2*sum + fabs(mask[0]); for (int i = 0; i < len; i++) { mask[i] /= sum; } } /* make filters */ #define MAKE_FILTER(name, fun) \ static std::vector make_ ## name (float sigma) { \ sigma = std::max(sigma, 0.01F); \ int len = (int)ceil(sigma * WIDTH) + 1; \ std::vector mask(len); \ for (int i = 0; i < len; i++) { \ mask[i] = fun; \ } \ return mask; \ } MAKE_FILTER(fgauss, exp(-0.5*square(i/sigma))); /* convolve image with gaussian filter */ static image *smooth(image *src, float sigma) { std::vector mask = make_fgauss(sigma); normalize(mask); image *tmp = new image (src->height(), src->width(), false); image *dst = new image (src->width(), src->height(), false); convolve_even(src, tmp, mask); convolve_even(tmp, dst, mask); delete tmp; return dst; } /* convolve image with gaussian filter */ image *smooth(image *src, float sigma) { image *tmp = imageUCHARtoFLOAT(src); image *dst = smooth(tmp, sigma); delete tmp; return dst; } /* compute laplacian */ static image *laplacian(image *src) { int width = src->width(); int height = src->height(); image *dst = new image (width, height); for (int y = 1; y < height-1; y++) { for (int x = 1; x < width-1; x++) { float d2x = imRef(src, x-1, y) + imRef(src, x+1, y) - 2*imRef(src, x, y); float d2y = imRef(src, x, y-1) + imRef(src, x, y+1) - 2*imRef(src, x, y); imRef(dst, x, y) = d2x + d2y; } } return dst; } #endif