Files
2025-04-02 12:07:31 +09:00

81 lines
1.7 KiB
C++

#include <iostream>
#include "opencv2/opencv.hpp"
using namespace std;
using namespace cv;
Mat calcGrayHist(const Mat& img);
Mat getGrayHistImage(const Mat& hist);
Mat histogram_stretching(const Mat& src);
int main() {
VideoCapture video;
video.open("..\\..\\resources\\images\\vtest.avi");
int fps = video.get(CAP_PROP_FPS);
Mat src;
while (true) {
video >> src;
if (src.empty())
return 1;
imshow("sample", src);
if (waitKey(1000 / fps) == 27)
break;
}
cvtColor(src, src, COLOR_BGR2GRAY);
src = src + 20;
Mat src_hist_img = getGrayHistImage(calcGrayHist(src));
Mat dst = histogram_stretching(src);
Mat dst_hist_img = getGrayHistImage(calcGrayHist(dst));
imshow("src", src);
imshow("srcHist", src_hist_img);
imshow("dst", dst);
imshow("dstHist", dst_hist_img);
waitKey();
destroyAllWindows();
return 0;
}
Mat calcGrayHist(const Mat& img) {
CV_Assert(img.type() == CV_8UC1);
Mat hist;
int channels[] = { 0, };
int dims = 1;
const int histSize[] = { 256, };
float graylevel[] = { 0, 256 };
const float* ranges[] = { graylevel };
calcHist(&img, 1, channels, noArray(), hist, dims, histSize, ranges);
return hist;
}
Mat getGrayHistImage(const Mat& hist) {
CV_Assert(hist.type() == CV_32FC1);
CV_Assert(hist.size() == Size(1, 256));
double histMax;
minMaxLoc(hist, 0, &histMax);
Mat imgHist(100, 256, CV_8UC1, Scalar(255));
for (int i = 0; i < 256; i++) {
line(imgHist, Point(i, 100), Point(i, 100 - cvRound(hist.at<float>(i, 0) * 100 / histMax)), Scalar(0));
}
return imgHist;
}
Mat histogram_stretching(const Mat &src) {
double gmin, gmax;
minMaxLoc(src, &gmin, &gmax);
Mat dst = (src - gmin) * 255 / (gmax - gmin);
return dst;
}