compareHist()函数
1.作用:
比较两幅直方图
2.函数原型:
(1)double compareHist(InputArray H1,InputArray H2, int method)
(2)double compareHist(const SpareMat& H1, const SpareMat& H2, int method)
3.参数说明:
(1)直方图1
(2)直方图2
(3)距离标准,4种,其中Correlation和Intersection标准值越大表示相似度越高
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
using namespace cv;
int main()
{
//两张对比图像的矩阵
Mat srcImage_base, hsvImage_base;
Mat srcImage_test1, hsvImage_test1;
Mat srcImage_test2, hsvImage_test2;
Mat hsvImage_halfDown;
//载入基准图像和两张测试图像
srcImage_base = imread("1.jpg", 1);
srcImage_test1 = imread("2.jpg", 1);
srcImage_test2 = imread("3.jpg", 1);
//显示载入的图像
imshow("基准图像", srcImage_base);
imshow("测试图像1", srcImage_test1);
imshow("测试图像2", srcImage_test2);
//将图像BGR转化为HSV色彩图像
cvtColor(srcImage_base, hsvImage_base, COLOR_BGR2HSV);
cvtColor(srcImage_test1, hsvImage_test1, COLOR_BGR2HSV);
cvtColor(srcImage_test2, hsvImage_test2, COLOR_BGR2HSV);
//创建包含基准图像下半部的半身图像HSV格式
hsvImage_halfDown = hsvImage_base(Range(hsvImage_base.rows / 2, hsvImage_base.rows - 1), Range(0, hsvImage_base.cols - 1));
//初始化计算直方图的参数
//对hue通道使用30个bin对saturation通道使用32bin
int h_bins = 50;
int s_bins = 60;
int histSize[] = { h_bins,s_bins };
float h_ranges[] = { 0,256 };
float s_ranges[] = { 0,180 };
const float * ranges[] = { h_ranges,s_ranges };
//使用0和1通道
int channels[] = { 0,1 };
//创建存储直方图的MatND类的实例
MatND baseHist;
MatND halfDownHist;
MatND testHist1;
MatND testHist2;
//计算基准图像,两张测试图像,半身基准图像的HSV直方图
calcHist(&hsvImage_base, 1, channels, Mat(), baseHist, 2, histSize, ranges, true, false);
normalize(baseHist, baseHist, 0, 1, NORM_MINMAX, -1, Mat());
calcHist(&hsvImage_halfDown, 1, channels, Mat(), halfDownHist, 2, histSize, ranges, true, false);
normalize(halfDownHist, halfDownHist, 0, 1, NORM_MINMAX, -1, Mat());
calcHist(&hsvImage_test1, 1, channels, Mat(), testHist1, 2, histSize, ranges, true, false);
normalize(testHist1, testHist1, 0, 1, NORM_MINMAX, -1, Mat());
calcHist(&hsvImage_test2, 1, channels, Mat(), testHist2, 2, histSize, ranges, true, false);
normalize(testHist2, testHist2, 0, 1, NORM_MINMAX, -1, Mat());
//按照顺序是哦那个4中比较标准将基准图像与其余的直方图进行对比
for (int i = 0; i < 4; i++)
{
//进行直方图对比
int compare_method = i;
double base_base = compareHist(baseHist, baseHist, compare_method);
double base_half = compareHist(baseHist, halfDownHist, compare_method);
double base_test1 = compareHist(baseHist, testHist1, compare_method);
double base_test2 = compareHist(baseHist, testHist2, compare_method);
//输出结果
printf("方法 [%d] 的匹配结果如下:\n\n 【基准图-基准图】:%f, 【基准图-半身图】:%f,【基准图-测试图1】:%f,【基准图-测试图2】:%f\n---------------------------------------\n", i, base_base, base_half, base_test1, base_test2);
}
printf("检测结束。");
waitKey(0);
return 0;
}