285 lines
8.9 KiB
C++
285 lines
8.9 KiB
C++
#ifndef CANNY_EDGE_MACHINE_C
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#define CANNY_EDGE_MACHINE_C
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#include <QtGlobal>
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#include <QMainWindow>
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#include <QColor>
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#include <iostream>
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#include <math.h>
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#include "lazy_image.cpp"
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class CannyEdgeMachine {
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private:
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LazyImage* original;
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LazyImage* working_copy;
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int width;
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int height;
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int pixels;
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double* gradient_magnitude;
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double* maximum_magnitude;
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int* binary_edge_pixels;
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int* gradient_x;
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int* gradient_y;
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// Params
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int filter_size;
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double t_low;
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double t_high;
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public:
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CannyEdgeMachine(LazyImage* original, LazyImage* working_copy){
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this->original = original;
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this->working_copy = working_copy;
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this->width = this->original->width();
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this->height = this->original->height();
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this->pixels = this->width * this->height;
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this->gradient_magnitude = (double*) malloc(sizeof(double) * this->pixels);
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this->maximum_magnitude = (double*) malloc(sizeof(double) * this->pixels);
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this->binary_edge_pixels = (int*) malloc(sizeof(int) * this->pixels);
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this->gradient_x = (int*) malloc(sizeof(int) * this->pixels);
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this->gradient_y = (int*) malloc(sizeof(int) * this->pixels);
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};
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~CannyEdgeMachine() {
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free(this->gradient_magnitude);
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free(this->maximum_magnitude);
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free(this->binary_edge_pixels);
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free(this->gradient_x);
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free(this->gradient_y);
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};
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void setGaussFilterSize(int filter_size) {
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this->filter_size = filter_size;
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};
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void setThresholdValues(double t_low, double t_high) {
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this->t_low = t_low;
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this->t_high = t_high;
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};
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void reset(void) {
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for(int i=0; i<this->pixels; i++) {
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this->gradient_magnitude[i] = 0;
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this->maximum_magnitude[i] = 0;
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this->binary_edge_pixels[i] = 0;
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this->gradient_x[i] = 0;
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this->gradient_y[i] = 0;
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}
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};
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void doGaussBlur(int filter_width) {
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// build the gauss filter
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int* filter = (int*) malloc(sizeof(int) * filter_width * filter_width);
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int sum_weights = 0;
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int filter_middle = (filter_width)/2;
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for(int x=0; x<filter_width; x++) {
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int i = x;
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if(x > filter_middle) i = filter_middle - (x - filter_middle);
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for(int y=0; y<filter_width; y++) {
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int j = y;
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if(y > filter_middle) j = filter_middle - (y - filter_middle);
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filter[i*filter_width + j] = pow(2, i) * pow(2, j);
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sum_weights += filter[i*filter_width + j];
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}
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}
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// apply gauss filter
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int filter_offset = (filter_width+1)/2;
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for(int x=(0+filter_offset); x<(this->width-filter_offset); x++) {
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for(int y=(0+filter_offset); y<(this->height-filter_offset); y++) {
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int sum_intensity = 0;
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int h, s, l;
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for(int fx=0; fx<filter_width; fx++) {
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int dx = fx - (filter_width / 2);
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for(int fy=0; fy<filter_width; fy++) {
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int dy = fy - (filter_width / 2);
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QColor color = QColor::fromRgb(this->original->getPixel(x+dx, y+dy, LazyImage::DEFAULT));
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color.getHsl(&h, &s, &l);
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sum_intensity += (l * filter[fy*filter_width + fx]);
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}
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}
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QColor color = QColor::fromRgb(this->original->getPixel(x, y, LazyImage::DEFAULT));
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color.getHsl(&h, &s, &l);
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l = qRound((1.0*sum_intensity) / (1.0*sum_weights));
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if(l > 255) l = 255;
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if(l < 0) l = 0;
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color.setHsl(h, s, l);
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this->working_copy->getImage()->setPixel(x, y, color.rgb());
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}
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}
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free(filter);
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};
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void doGradiants(void) {
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// build the gradiant vector
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int gradiant_size = 3;
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double* gradiant_vector = (double*) malloc(sizeof(double) * gradiant_size);
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gradiant_vector[0] = -0.5;
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gradiant_vector[1] = 0;
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gradiant_vector[2] = 0.5;
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int gradiant_offset = gradiant_size/2;
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// calculate gradiants
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double sum_intensity;
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for(int x=(0+gradiant_offset); x<(this->width-gradiant_offset); x++) {
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for(int y=(0+gradiant_offset); y<(this->height-gradiant_offset); y++) {
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int h, s, l;
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// x gradiant
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sum_intensity = 0;
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for(int i=0; i<gradiant_size; i++) {
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int dx = i - gradiant_offset;
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QColor color = QColor::fromRgb(this->original->getPixel(x+dx, y, LazyImage::DEFAULT));
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color.getHsl(&h, &s, &l);
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sum_intensity += l * gradiant_vector[i];
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}
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this->gradient_x[y*this->width + x] = sum_intensity;
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// y gradiant
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sum_intensity = 0;
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for(int i=0; i<gradiant_size; i++) {
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int dy = i - gradiant_offset;
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QColor color = QColor::fromRgb(this->original->getPixel(x, y+dy, LazyImage::DEFAULT));
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color.getHsl(&h, &s, &l);
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sum_intensity += l * gradiant_vector[i];
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}
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this->gradient_y[y*this->width + x] = sum_intensity;
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}
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}
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free(gradiant_vector);
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};
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void doGradiantMagnitude(void) {
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for(int x=0; x<this->width; x++) {
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for(int y=0; y<this->height; y++) {
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int gradiant_x = this->gradient_x[y*this->width + x];
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int gradiant_y = this->gradient_y[y*this->width + x];
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this->gradient_magnitude[y*this->width + x] = sqrt(pow(gradiant_x, 2) + pow(gradiant_y, 2));
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}
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}
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};
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int getOrientationSector(double dx, double dy) {
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// Matrix multiplication with rotation matrix pi/8
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//
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// cos(pi/8) -sin(pi/8)
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// sin(pi/8) cos(pi/8)
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double octangle = 3.141592/8; // I know ...
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double cosoct = cos(octangle);
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double sinoct = sin(octangle);
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double neg_sinoct = -sinoct;
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// Do matrix multiplication
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double new_dx = dx * cosoct + dy * neg_sinoct;
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double new_dy = dx * sinoct + dy * cosoct;
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if(new_dy < 0) {
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new_dx = -new_dx;
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new_dy = -new_dy;
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}
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int orientation_sector;
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if(new_dx >= 0 && new_dx >= new_dy) orientation_sector = 0;
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if(new_dx >= 0 && new_dx < new_dy) orientation_sector = 1;
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if(new_dx < 0 && -new_dx < new_dy) orientation_sector = 2;
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if(new_dx < 0 && -new_dy >= new_dy) orientation_sector = 3;
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return orientation_sector;
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};
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bool isLocalMax(int x, int y, int orientation_sector) {
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double local_magnitude = this->gradient_magnitude[y * this->width + x];
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if(local_magnitude < this->t_low) {
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return false;
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} else {
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int magnitude_l, magnitude_r;
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switch(orientation_sector) {
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case 0:
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magnitude_l = this->gradient_magnitude[y * this->width + (x-1)];
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magnitude_r = this->gradient_magnitude[y * this->width + (x+1)];
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break;
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case 1:
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magnitude_l = this->gradient_magnitude[(y-1) * this->width + (x-1)];
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magnitude_r = this->gradient_magnitude[(y+1) * this->width + (x+1)];
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break;
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case 2:
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magnitude_l = this->gradient_magnitude[(y-1) * this->width + x];
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magnitude_r = this->gradient_magnitude[(y+1) * this->width + x];
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break;
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case 3:
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magnitude_l = this->gradient_magnitude[(y-1) * this->width + (x+1)];
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magnitude_r = this->gradient_magnitude[(y+1) * this->width + (x-1)];
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break;
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}
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return ((magnitude_l <= local_magnitude) && (local_magnitude > magnitude_r));
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}
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};
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void filterLocalMaxima(void) {
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for(int x=1; x<this->width-2; x++) {
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for(int y=1; y<this->height-2; y++) {
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double dx = this->gradient_x[y*this->width + x];
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double dy = this->gradient_y[y*this->width + x];
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// get orientation sector
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int orientation_sector = this->getOrientationSector(dx, dy);
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if(this->isLocalMax(x, y, orientation_sector)) {
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this->maximum_magnitude[y*this->width + x] = this->gradient_magnitude[y*this->width + x];
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}
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}
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}
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};
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void traceAndThreshold(int x, int y) {
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this->binary_edge_pixels[y*this->width + x] = 1;
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int x_l = std::max(x-1, 0);
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int x_r = std::min(x+1, this->width-1);
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int y_l = std::max(y-1, 0);
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int y_r = std::min(y+1, this->height-1);
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for(int x=x_l; x<=x_r; x++) {
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for(int y=y_l; y<y_r; y++) {
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if((this->maximum_magnitude[y*this->width + x] >= this->t_high)
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&& (this->binary_edge_pixels[y*this->width + x] == 0)) {
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this->traceAndThreshold(x, y);
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}
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}
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}
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};
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void workLocalMaxima(void) {
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for(int x=1; x<this->width-2; x++) {
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for(int y=1; y<this->height-2; y++) {
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if((this->maximum_magnitude[y*this->width + x] >= this->t_high)
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&& (this->binary_edge_pixels[y*this->width + x] == 0)) {
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this->traceAndThreshold(x, y);
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}
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}
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}
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};
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void showEdges(void) {
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QRgb black = QColor::fromRgb(0, 0, 0).rgb();
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QRgb white = QColor::fromRgb(255, 255, 255).rgb();
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for(int x=0; x<this->width; x++) {
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for(int y=0; y<this->height; y++) {
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int pixel = this->binary_edge_pixels[y*this->width + x];
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if(pixel > 0) {
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this->working_copy->getImage()->setPixel(x, y, white);
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} else {
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this->working_copy->getImage()->setPixel(x, y, black);
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}
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}
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}
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};
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void work() {
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this->reset();
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this->doGaussBlur(this->filter_size);
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this->doGradiants();
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this->doGradiantMagnitude();
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this->filterLocalMaxima();
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this->workLocalMaxima();
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this->showEdges();
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};
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};
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#endif
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