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Zad9 #9

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s452117 merged 2 commits from Dawid_zad_9 into master 2020-05-11 23:25:53 +02:00
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5 changed files with 258 additions and 65 deletions
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118
src/core/transformations/convolution.cpp
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@ -55,69 +55,78 @@ PNM* Convolution::convolute(math::matrix<float> mask, Mode mode = CyclicEdge)
float blue_sum;
float gray_sum;
for (int x=0; x<width; x++)
for (int y=0; y<height; y++)
{
if (image->format() == QImage::Format_Indexed8)
gray_window=getWindow(x,y,size,LChannel,mode);
else{
red_window=getWindow(x,y,size,RChannel,mode);
blue_window=getWindow(x,y,size,BChannel,mode);
green_window=getWindow(x,y,size,GChannel,mode);
//gray_window=getWindow(x,y,size,LChannel,mode);
}
if (image->format() == QImage::Format_Indexed8){
gray_window=join(gray_window,mask);
}else{
red_window=join(red_window,mask);
blue_window=join(blue_window,mask);
green_window=join(green_window,mask);
//gray_window=join(gray_window,mask);
red_sum=sum(red_window);
green_sum=sum(green_window);
blue_sum=sum(blue_window);
//gray_sum=sum(gray_window);
}
if(mask_weight>0)
{
red_sum=red_sum/mask_weight;
blue_sum=blue_sum/mask_weight;
green_sum=green_sum/mask_weight;
//gray_sum=gray_sum/mask_weight;
}
if(red_sum>=0 && red_sum<=255 && green_sum>=0 && green_sum<=255 && blue_sum>=0 && blue_sum<=255)
{
newImage->setPixel(x,y, QColor(red_sum,green_sum,blue_sum).rgb());
}
else if (red_sum>=0 && red_sum<=255 && green_sum>=0 && green_sum<=255)
{
int old_blue = qBlue(newImage->pixel(x,y));
newImage->setPixel(x,y, QColor(red_sum,green_sum,old_blue).rgb());
}
else if (blue_sum>=0 && blue_sum<=255 && green_sum>=0 && green_sum<=255)
{
int old_red = qRed(newImage->pixel(x,y));
newImage->setPixel(x,y, QColor(old_red,green_sum,blue_sum).rgb());
}
else if (blue_sum>=0 && blue_sum<=255 && red_sum>=0 && red_sum<=255)
{
int old_green = qGreen(newImage->pixel(x,y));
newImage->setPixel(x,y, QColor(red_sum,old_green,blue_sum).rgb());
}
if (image->format() == QImage::Format_Indexed8){
gray_sum=sum(gray_window);
}else{
red_sum=sum(red_window);
green_sum=sum(green_window);
blue_sum=sum(blue_window);
}
if(mask_weight>0)
{
if (image->format() == QImage::Format_Indexed8){
gray_sum=gray_sum/mask_weight;
}
else{
red_sum=red_sum/mask_weight;
blue_sum=blue_sum/mask_weight;
green_sum=green_sum/mask_weight;
}
}
if (image->format() == QImage::Format_Indexed8) {
newImage->setPixel(x, y, validateValue(gray_sum));
}
else {
newImage->setPixel(x,y, QColor(validateValue(red_sum),validateValue(green_sum),validateValue(blue_sum)).rgb());
}
}
return newImage;
}
int Convolution::validateValue(int value){
if (value > 255) {
return 255;
}
else if (value < 0) {
return 0;
}
return value;
}
/** Joins to matrices by multiplying the A[i,j] with B[i,j].
* Warning! Both Matrices must be squares with the same size!
*/
@ -141,18 +150,15 @@ const float Convolution::sum(const math::matrix<float> A)
{
float sum = 0.0;
int size=A.rowno();
for (int x=0; x<size; x++)
for (int y=0; y<size; y++)
for (int x=0; x<A.rowno(); x++)
for (int y=0; y<A.colno(); y++)
{
sum=sum+A[x][y];
}
return sum;
}
@ -165,16 +171,14 @@ const math::matrix<float> Convolution::reflection(const math::matrix<float> A)
int counter_j=0;
for (int x=size-1; x>=0; x--)
{
for (int y=size-1; y>=0; y--)
{
C[x][y]=A[counter_i][counter_j];
counter_j++;
}
counter_i++;
}
for (int x = 0; x < size; x++)
{
for (int y = 0; y < size; y++)
{
C(size - x, size - y) = A(x, y);
}
}
return C;
}
}

1
src/core/transformations/convolution.h
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@ -18,6 +18,7 @@ protected:
const math::matrix<float> join(math::matrix<float>, math::matrix<float>);
const float sum(math::matrix<float>);
const math::matrix<float> reflection(math::matrix<float>);
int validateValue(int);
};
#endif // CONVOLUTION_H

186
src/core/transformations/edge_canny.cpp
View File

@ -23,8 +23,192 @@ PNM* EdgeCanny::transform()
lower_thresh = getParameter("lower_threshold").toInt();
PNM* newImage = new PNM(width, height, QImage::Format_Grayscale8);
QPoint point_vector[7] = {
QPoint(-1, 0),
QPoint(-1, 1),
QPoint(0, -1),
QPoint(0, 1),
QPoint(1, -1),
QPoint(1, 0),
QPoint(1, 1),
};
qDebug() << Q_FUNC_INFO << "Not implemented yet!";
// step 1
PNM* tmpImage = new PNM(width, height, QImage::Format_Indexed8);
tmpImage = ConversionGrayscale(image).transform();
// step 2
BlurGaussian gaus(tmpImage);
gaus.setParameter("sigma", 1.6);
gaus.setParameter("size", 3);
tmpImage = gaus.transform();
// step 3
EdgeSobel sobel(tmpImage);
math::matrix<float>* Gx = sobel.rawHorizontalDetection();
math::matrix<float>* Gy = sobel.rawVerticalDetection();
//step 4
math::matrix<float> direction = math::matrix<float>(width, height);
math::matrix<float> power = math::matrix<float>(width, height);
for (int i = 0; i < width; i++)
{
for (int j = 0; j < height; j++)
{
newImage->setPixel(i, j, PIXEL_VAL_MIN);
power(i, j) = sqrt(pow((*Gx)(i, j), 2) + pow((*Gy)(i, j), 2));
direction(i, j) = (int)((atan2 ((*Gy)(i, j), (*Gx)(i, j)) / (3.142)) * 180 + 360) % 360;
}
}
//step 5
std::list<QPoint> initialPoints;
for (int i = 1; i < width - 1; i++)
{
for (int j = 1; j < height - 1; j++)
{
int pos = direction(i, j);
QPoint point1;
QPoint point2;
if (getOrient(pos) == 0)
{
point1 = QPoint(0, -1);
point2 = QPoint(0, 1);
}
else if (getOrient(pos) == 1)
{
point1 = QPoint(1, -1);
point2 = QPoint(-1, 1);
}
else if (getOrient(pos) == 2)
{
point1 = QPoint(-1, 0);
point2 = QPoint(1, 0);
}
else if (getOrient(pos) == 3)
{
point1 = QPoint(-1, -1);
point2 = QPoint(1, 1);
}
double temp1 = power(i + point1.x(), j + point1.y());
double temp2= power(i + point2.x(), j + point2.y());
if (power(i, j) > temp1 && power(i, j) > temp2 &&power(i, j) > upper_thresh)
{
newImage->setPixel(i, j, PIXEL_VAL_MAX);
initialPoints.push_back(QPoint(i, j));
}
}
}
//step 6
while (!initialPoints.empty())
{
QPoint point = initialPoints.back();
initialPoints.pop_back();
int pos = direction(point.x(), point.y());
for (int i = 1; i <= 2; i++)
{
int x,y;
if ( i == 1)
{
if (getOrient(pos) == 0)
{
x= 0;
y= -1;
}
else if (getOrient(pos) == 1)
{
x= 1;
y= -1;
}
else if (getOrient(pos) == 2)
{
x= -1;
y= 1;
}
else if (getOrient(pos) == 3)
{
x= -1;
y= -1;
}
}
else
{
if (getOrient(pos) == 0)
{
x= 0;
y= 1;
}
else if (getOrient(pos) == 1)
{
x= -1;
y= 1;
}
else if (getOrient(pos) == 2)
{
x= 1;
y= 0;
}
else if (getOrient(pos) == 3)
{
x= 1;
y= 1;
}
}
QPoint cPoint = point;
while (true)
{
QPoint point_ = QPoint(cPoint.x() + x, cPoint.y() + y);
if (point_.x() == width - 1 || point_.x() == 0 || point_.y() == height - 1 || point_.y() == 0) break;
if (newImage->pixel(point_.x(), point_.y()) == PIXEL_VAL_MAX) break;
if (power(point_.x(), point_.y()) < lower_thresh) break;
if (getOrient((int)direction(point_.x(), point_.y())) != getOrient(pos)) break;
bool flag = true;
for (int i = 0; i < 7; i++)
{
QPoint point(point_.x() + point_vector[i].x(), point_.y() + point_vector[i].y());
if (point.x() == cPoint.x() && point.y() == cPoint.y()) continue;
if (getOrient((int)direction(point.x(), point.y())) != getOrient(pos)) continue;
if (power(point.x(), point.y()) >= power(point_.x(), point_.y()))
{
flag= false;
break;
}
}
if (!flag) break;
newImage->setPixel(point_.x(), point_.y(), PIXEL_VAL_MAX);
cPoint = point_;
}
}
}
return newImage;
}
int EdgeCanny::getOrient(int currentDirection){
if ((currentDirection >= 0 && currentDirection < 23) || (currentDirection >= 158 && currentDirection < 203) || (currentDirection >= 338 && currentDirection < 361))
{
return 0;
}
if ((currentDirection >= 23 && currentDirection < 68) || (currentDirection >= 203 && currentDirection < 248))
{
return 1;
}
if ((currentDirection >= 68 && currentDirection < 113) || (currentDirection >= 248 && currentDirection < 293))
{
return 2;
}
if ((currentDirection >= 113 && currentDirection < 158) || (currentDirection >= 293 && currentDirection < 338))
{
return 3;
}
return -1;
}

2
src/core/transformations/edge_canny.h
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@ -8,12 +8,14 @@ class EdgeCanny : public Convolution
public:
EdgeCanny(PNM*);
EdgeCanny(PNM*, ImageViewer*);
int getOrient(int);
virtual PNM* transform();
private:
};
#endif // EDGECANNY_H

16
src/core/transformations/edge_sobel.cpp
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@ -46,15 +46,15 @@ math::matrix<float>* EdgeSobel::rawHorizontalDetection()
int width = x_gradient->rowno();
int height = x_gradient->colno();
for (int x = 0; x < width; x++)
for (int x = 0; x < width; x++)
{
for (int y = 0; y < height; y++)
{
for (int y = 0; y < height; y++)
{
math::matrix<float> temp = getWindow(x, y, 3, LChannel, NullEdge);
x_gradient[x][y] = Convolution::sum(Convolution::join(g_x, temp));
}
math::matrix<float> temp = getWindow(x, y, 3, LChannel, NullEdge);
x_gradient[x][y] = Convolution::sum(Convolution::join(g_x, temp));
}
}
return x_gradient;
}
@ -62,6 +62,7 @@ math::matrix<float>* EdgeSobel::rawVerticalDetection()
{
math::matrix<float>* y_gradient = new math::matrix<float>(this->image->width(), this->image->height());
int width = y_gradient->rowno();
int height = y_gradient->colno();
@ -74,5 +75,6 @@ math::matrix<float>* EdgeSobel::rawVerticalDetection()
}
}
return y_gradient;
}