Opencv histogram equalization

One 、 effect

Used to improve image quality

Histogram equalization is an important application of gray transformation , Efficient and easy to implement , It is widely used in image enhancement

Histogram equalization is a method to enhance image contrast by stretching the intensity distribution of pixels .

Two 、equalizeHist

void equalizeHist(

InputArray src,

OutputArray dst)

1、 Read in the picture
2、 Image channel separation
3、 Image histogram equalization
4、 Channel merging
5、 Display the image after image histogram equalization
 

 

 

#if 1 //  Color image enhancement algorithm  -- Histogram equalization image enhancement 
int main(int args, char* arg)
{
	Mat	src = imread("C:\\Users\\19473\\Desktop\\opencv_images\\88.jpg");
	if (!src.data)
	{
		printf("could not  load  image....\n");
	}
	imshow("input_demo", src);

	Mat stc_bgr[3];
	Mat  dst;//  Enhanced image 
	//  Remove the channel 
	split(src, stc_bgr); 
	for (int i = 0; i < 3; i++)
	{
		equalizeHist(stc_bgr[i], stc_bgr[i]);
	}
	//    Merge channel 
	merge(stc_bgr, 3, dst);
	imshow(" Enhanced image ", dst);
	waitKey(0);
	return -1;
}
#endif