[TASK] Implement generic gaussian blur filter.

This commit is contained in:
Jan Philipp Timme 2015-12-18 14:06:09 +01:00
parent bd07eb280c
commit 55b07d48cb
3 changed files with 117 additions and 7 deletions

View File

@ -12,14 +12,108 @@
class CannyEdgeMachine {
private:
LazyImage* img;
LazyImage* original;
LazyImage* working_copy;
int width;
int height;
int pixels;
double* gradient_magnitude;
double* maximum_magnitude;
int* binary_edge_pixels;
int* gradient_x;
int* gradient_y;
// Params
double t_low;
double t_high;
public:
CannyEdgeMachine(){
// TODO
CannyEdgeMachine(LazyImage* original, LazyImage* working_copy){
this->original = original;
this->working_copy = working_copy;
this->width = this->original->width();
this->height = this->original->height();
this->pixels = this->width * this->height;
this->gradient_magnitude = (double*) malloc(sizeof(double) * this->pixels);
this->maximum_magnitude = (double*) malloc(sizeof(double) * this->pixels);
this->binary_edge_pixels = (int*) malloc(sizeof(int) * this->pixels);
this->gradient_x = (int*) malloc(sizeof(int) * this->pixels);
this->gradient_y = (int*) malloc(sizeof(int) * this->pixels);
};
~CannyEdgeMachine() {
// TODO
free(this->gradient_magnitude);
free(this->maximum_magnitude);
free(this->binary_edge_pixels);
free(this->gradient_x);
free(this->gradient_y);
};
void setThresholdValues(double t_low, double t_high) {
this->t_low = t_low;
this->t_high = t_high;
};
void reset(void) {
for(int i=0; i<this->pixels; i++) {
this->gradient_magnitude = 0;
this->maximum_magnitude = 0;
this->binary_edge_pixels = 0;
this->gradient_x = 0;
this->gradient_y = 0;
}
};
void doGaussBlur(int filter_width=3) {
// build the gauss filter
int* filter = (int*) malloc(sizeof(int) * filter_width* filter_width);
int sum_weights = 0;
for(int i=0; i<filter_width; i++) {
for(int j=0; j<filter_width; j++) {
filter[i*filter_width + j] = pow(2, i) * pow(2, j);
sum_weights += filter[i*filter_width + j];
}
}
// apply gauss filter
int filter_offset = (filter_width+1)/2;
for(int x=0+filter_offset; x<this->width-filter_offset; x++) {
for(int y=0+filter_offset; y<this->width-filter_offset; y++) {
int sum_intensity = 0;
int h, s, l;
for(int fx=0; fx<filter_width; fx++) {
int dx = fx - (filter_width / 2);
for(int fy=0; fy<filter_width; fy++) {
int dy = fy - (filter_width / 2);
QColor color = QColor::fromRgb(this->original->getImage()->pixel(x+dx, y+dy));
color.getHsl(&h, &s, &l);
sum_intensity += (l * filter[fy*filter_width + fx]);
}
}
QColor color = QColor::fromRgb(original->getImage()->pixel(x, y));
color.getHsl(&h, &s, &l);
l = qRound((1.0*sum_intensity) / (1.0*sum_weights));
if(l > 255) l = 255;
if(l < 0) l = 0;
color.setHsl(h, s, l);
this->working_copy->getImage()->setPixel(x, y, color.rgb());
}
}
free(filter);
};
void work() {
this->reset();
for(int x=0; x<this->width; x++) {
for(int y=0; y<this->height; y++) {
//this->gradient_magnitude = sqrt(...)
}
}
};
};

View File

@ -650,7 +650,14 @@ void ImageViewer::applyBasicFilterWithOverflowHandling() {
*/
void ImageViewer::runCannyEdge(void) {
//TODO
CannyEdgeMachine cem = CannyEdgeMachine();
// Blur with Gauss (1,2,1 2,4,2 1,2,1) (delta=3, otherwise bigger matrix)
// THEN do x/y gradients with (-0.5, 0, 0.5)
CannyEdgeMachine cem = CannyEdgeMachine(original, working_copy);
cem.setThresholdValues(0, 0); //TODO
cem.work();
}
/****************************************************************************************
@ -917,6 +924,8 @@ void ImageViewer::generateControlPanels() {
run_canny_edge = new QPushButton("Run canny edge algorithm!");
QObject::connect(run_canny_edge, SIGNAL(clicked()), this, SLOT(runCannyEdge()));
task_tab5_scrolllayout->addWidget(run_canny_edge);
tabWidget->addTab(task_tab5_widget, "Task #5");
//Show it

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@ -300,6 +300,13 @@ class LazyImage {
return result;
};
int width(void) {
return this->img->width();
};
int height(void) {
return this->img->height();
};
};