공부합시당

#include #include #include #include using namespace std; using namespace cv; int main() { Mat cow_binary = imread("cow_binary.bmp", IMREAD_GRAYSCALE); Mat castle_grayScale = imread("castle_original.jpg", IMREAD_GRAYSCALE); Mat book_grayScale = imread("book_original.jpg", IMREAD_GRAYSCALE); Mat eroded, dilated, opened, closed; Mat gradient, black_top_hat; Mat structuringElement_5x5 = Mat(5, 5, CV..

#include #include #include #include using namespace std; using namespace cv; Mat adaptiveThresholding(Mat &image, int inputThreshold = 10) { Mat result = image.clone(); // compute integral image Mat integralImage; integral(image, integralImage, CV_32S); int blockSize = 21; // size of the neighborhood int threshold = 10;// pixel will be compared to (mean - threshold) // for each row int halfSize ..

#include #include #include #include using namespace std; using namespace cv; class ColorHistogram { private: int histSize[3]; // size of each dimension float hranges[2]; // range of values (same for the 3 dimensions) const float* ranges[3]; // array of ranges for each dimension int channels[3]; // channel to be considered public: ColorHistogram() { // Prepare default arguments for a color histog..