opencv3 对比直方图-compareHist函数

#include
#include
#include

using namespace cv;
using namespace std;

int main()
{
	Mat srcImage = imread("1.jpg");
	Mat compareImage = imread("2.jpg");
	imshow("【原图】", srcImage);
	imshow("【需要比较的图像】", compareImage);

	//在比较直方图时，最佳操作是在HSV空间中操作，所以需要将BGR空间转换为HSV空间
	Mat srcHsvImage;
	Mat compareHsvImage;
	cvtColor(srcImage, srcHsvImage, CV_BGR2HSV);
	cvtColor(compareImage, compareHsvImage, CV_BGR2HSV);

	//采用H-S直方图进行处理
	//首先得配置直方图的参数
	MatND srcHist, compHist;
	//H、S通道
	int channels[] = { 0, 1 };
	int histSize[] = { 30, 32 };
	float HRanges[] = { 0, 180 };
	float SRanges[] = { 0, 256 };
	const float *ranges[] = { HRanges, SRanges };

	//进行原图直方图的计算
	calcHist(&srcHsvImage, 1, channels, Mat(), srcHist, 2, histSize, ranges, true, false);
	//对需要比较的图进行直方图的计算
	calcHist(&compareHsvImage, 1, channels, Mat(), compHist, 2, histSize, ranges, true, false);

	//注意：这里需要对两个直方图进行归一化操作
	normalize(srcHist, srcHist, 0, 1, NORM_MINMAX);
	normalize(compHist, compHist, 0, 1, NORM_MINMAX);

	//对得到的直方图对比
	double g_dCompareRecult = compareHist(srcHist, compHist, 0);
	cout << "方法一：两幅图像比较的结果为：" << g_dCompareRecult << endl;

	g_dCompareRecult = compareHist(srcHist, compHist, 1);
	cout << "方法二：两幅图像比较的结果为：" << g_dCompareRecult << endl;

	g_dCompareRecult = compareHist(srcHist, compHist, 2);
	cout << "方法三：两幅图像比较的结果为：" << g_dCompareRecult << endl;

	g_dCompareRecult = compareHist(srcHist, compHist, 3);
	cout << "方法四：两幅图像比较的结果为：" << g_dCompareRecult << endl;

	waitKey(0);

	return 0;
}