How to equalize a visual image in the studio?
def add(a, b):
return a + b
All generations.
def add(a, b):
return a + b
#include <opencv2/opencv.hpp>
#include <iostream>
using namespace cv;
using namespace std;
int main(int argc, char** argv)
{
Mat img = imread("../images/cat.jpg");
if (img.empty())
{
cout << "Failed to open the image" << endl;
return -1;
}
Mat ycrcb;
cvtColor(img, ycrcb, COLOR_BGR2YCrCb);
vector<Mat> channels;
split(ycrcb, channels);
equalizeHist(channels[0], channels[0]);
Mat result;
merge(channels, ycrcb);
cvtColor(ycrcb, result, COLOR_YCrCb2BGR);
imshow("image", img);
imshow("result", result);
waitKey();
return 0;
}
#include <iostream>
using namespace std;
int main() {
int a;
int b;
cout << "Enter first number:";
cin >> a;
cout << "Enter second number:";
cin >> b;
cout << "Sum:" << a + b;
return 0;
}
#include <opencv2/opencv.hpp>;
#include <iostream>;
#include<math.h>;
using namespace cv;
using namespace std;
Mat eqHist(Mat& src) {
int histSize = 256;
float range[] = { 0, 256 };
const float* histRange = { range };
bool uniform = true;
bool accumulate = false;
Mat result;
Mat hist;
equalizeHist(src, result);
//calcHist(&result, 1, 0, Mat(), hist, 1, &histSize, &histRange, uniform, accumulate);
//normalize(hist, hist, 0, 255, NORM_MINMAX, -1, Mat());
return result;
}
void main()
{
Mat image;
image = imread("D:/1.jpg", 0);
imshow("原图", image);
Mat result = eqHist(image);
imshow("直方图均
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