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This commit is contained in:
Dennis Eichhorn 2022-08-16 18:56:22 +02:00
parent b91ee70f33
commit 06387d1193
2 changed files with 3 additions and 37 deletions
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38
Image/Kernel.h
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@ -66,48 +66,14 @@ namespace Image {
public: public:
/**
* @see https://en.wikipedia.org/wiki/Kernel_(image_processing)
* @see https://towardsdatascience.com/image-processing-with-python-blurring-and-sharpening-for-beginners-3bcebec0583a
* @see https://web.eecs.umich.edu/~jjcorso/t/598F14/files/lecture_0924_filtering.pdf
*/
static static
cv::Mat convolve(cv::Mat in, const float kernel[][3]) cv::Mat convolve(cv::Mat in, const float kernel[][3])
{ {
cv::Size dim = in.size(); cv::Size dim = in.size();
cv::Mat out(in.size(), in.type()); cv::Mat out(in.size(), in.type());
int kernel_dimension = 3; cv::Mat mKernel(3, 3, CV_32F, (float *) kernel);
cv::filter2D(in, out, -1, mKernel);
int kWidthRadius = (unsigned int) kernel_dimension >> 1;
int kHeightRadius = (unsigned int) kernel_dimension >> 1;
int newPixel;
cv::Vec3b p;
// @todo: implement @see https://rosettacode.org/wiki/Image_convolution
// @todo: not working yet
for (int i = dim.width - 1; i >= 0; --i) {
for (int j = dim.height - 1; j >= 0; --j) {
newPixel = 0;
for (int ki = kernel_dimension - 1; ki >= 0; --ki) {
for (int kj = kernel_dimension - 1; kj >= 0; --kj) {
p = in.at<cv::Vec3b>(
oms_min(oms_max(j + kj - kHeightRadius, 0), dim.height - 1),
oms_min(oms_max(i + ki - kWidthRadius, 0), dim.width - 1)
);
newPixel += kernel[ki][kj] * Image::ImageUtils::rgbToInt(p[2], p[1], p[0]);
}
}
// bgr vs rgb
out.at<cv::Vec3b>(j, i)[0] = newPixel & 255;
out.at<cv::Vec3b>(j, i)[1] = (newPixel >> 8) & 255;
out.at<cv::Vec3b>(j, i)[2] = (newPixel >> 16) & 255;
}
}
return out; return out;
} }

2
Image/Thresholding.h
View File

@ -25,7 +25,7 @@ namespace Image {
cv::Mat integralThresholding(cv::Mat in) cv::Mat integralThresholding(cv::Mat in)
{ {
cv::Size dim = in.size(); cv::Size dim = in.size();
cv::Mat out(in.size(), in.type()); cv::Mat out(dim, in.type());
float intImg[dim.width][dim.height]; float intImg[dim.width][dim.height];
float sum; float sum;