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Zaktualizuj 'examples/example_win32_directx11/main.cpp'

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This commit is contained in:
Jerzy Kwiatkowski 2023-07-06 16:36:11 +02:00
parent a0c682dc70
commit 46ee5c27a9
1 changed files with 27 additions and 6 deletions
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33
examples/example_win32_directx11/main.cpp
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@ -423,6 +423,20 @@ void binaryTransform(unsigned char* grayscaleImage, unsigned char* binaryImage,
}
}
//void binaryTransform(const unsigned char* image, unsigned char* binaryImage, int threshold, int width, int height, int channels)
//{
// for (int i = 0; i < width * height; i++) {
// unsigned char brightness = 0.2126f * image[i * channels] + 0.7152f * image[i * channels + 1] + 0.0722f * image[i * channels + 2];
//
// if (brightness < threshold) {
// binaryImage[i] = 0;
// }
// else {
// binaryImage[i] = 255;
// }
// }
//}
int calculateOtsuThreshold(const unsigned char* image, int width, int height) {
int histogram[256] = {0};
@ -465,11 +479,11 @@ int calculateOtsuThreshold(const unsigned char* image, int width, int height) {
return threshold;
}
void hough_transform(unsigned char* input_image, int width, int height, int threshold)
void hough_transform(const unsigned char* input_image, int width, int height, int threshold, unsigned char* hough_image, int channel)
{
int hough_width = 2 * (width + height);
int hough_height = 180;
int* hough_space = new int[hough_width * hough_height]();
int* hough_space = new int[hough_width * hough_height];
for (int y = 0; y < height; y++)
{
@ -497,7 +511,7 @@ void hough_transform(unsigned char* input_image, int width, int height, int thre
}
}
unsigned char* hough_image = new unsigned char[hough_width * hough_height * 3]();
hough_image = new unsigned char[hough_width * hough_height * channel];
for (int y = 0; y < hough_height; y++)
{
for (int x = 0; x < hough_width; x++)
@ -508,6 +522,7 @@ void hough_transform(unsigned char* input_image, int width, int height, int thre
hough_image[3 * (y * hough_width + x) + 2] = value;
}
}
delete[] hough_space;
}
int main(int, char**)
@ -622,8 +637,9 @@ int main(int, char**)
int my_image_height = 0;
int my_image_channels = 0;
unsigned char* image_data = ImageData(image_location, my_image_width, my_image_height, my_image_channels);
unsigned char* grayscaleImage = new unsigned char[my_image_width * my_image_height];
unsigned char* binaryImage = new unsigned char[my_image_width * my_image_height];
unsigned char* grayscaleImage = new unsigned char[my_image_width * my_image_height * my_image_channels];
unsigned char* binaryImage = new unsigned char[my_image_width * my_image_height * my_image_channels];
unsigned char* hough_image = nullptr;
if (colorR == NULL && colorB == NULL && colorG == NULL) {
colorR = new int[256];
colorG = new int[256];
@ -665,7 +681,7 @@ int main(int, char**)
}
if (hough)
{
hough_transform(image_data, my_image_width, my_image_height, calculateOtsuThreshold(image_data, my_image_width, my_image_height));
hough_transform(image_data, my_image_width, my_image_height, 125, hough_image, my_image_channels);
}
if (histogram)
{
@ -699,6 +715,11 @@ int main(int, char**)
delete[] grayscaleImage;
stbi_image_free(image_data);
}
else if (hough == TRUE) {
bool ret = LoadTextureFromFile(hough_image, my_image_width, my_image_height, &my_texture);
delete[] hough_image;
stbi_image_free(image_data);
}
else {
bool ret = LoadTextureFromFile(image_data, my_image_width, my_image_height, &my_texture);
stbi_image_free(image_data);