opencv

2024-07-16 20:57| 来源: 网络整理| 查看: 265

对比直方图：compareHist 函数

double compareHist(InputArray H1, InputArray H2, int method);

H1，H2，是要进行比较的直方图。 method，比较方法。有如下选择：方法名标识符计算公式

相关

Correlation

HISTCMP_CORREL $d(H_1,H_2) = \frac{\sum_I (H_1(I) - \bar{H_1}) (H_2(I) - \bar{H_2})}{\sqrt{\sum_I(H_1(I) - \bar{H_1})^2 \sum_I(H_2(I) - \bar{H_2})^2}}$

其中 $\bar{H_k} = \frac{1}{N} \sum _J H_k(J)$

$N$ 是直方图中bin的数目。

卡方

Chi-square

HISTCMP_CHISQR $d(H_1,H_2) = \sum _I \frac{\left(H_1(I)-H_2(I)\right)^2}{H_1(I)+H_2(I)}$

相交

Intersection

HISTCMP_INTERSECT

$d(H_1,H_2) = \sum _I \min (H_1(I), H_2(I))$

巴氏距离

Bhattacharyya

HISTCMP_BHATTACHARYYA $d(H_1,H_2) = \sqrt{1 - \frac{1}{\sqrt{\bar{H_1} \bar{H_2} N^2}} \sum_I \sqrt{H_1(I) \cdot H_2(I)}}$

代码示例：

#include #include #include using namespace std; using namespace cv; int main() { Mat src1 = imread("C:/Users/齐明洋/Desktop/证件照/6.jpg"); Mat src2 = imread("C:/Users/齐明洋/Desktop/证件照/8.jpg"); Mat src3 = imread("C:/Users/齐明洋/Desktop/证件照/10.jpg"); imshow("src1", src1); imshow("src2", src2); imshow("src3", src3); //将图片转换成 HSV 类型 //对 HS 两通道进行直方图统计 cvtColor(src1, src1, COLOR_BGR2HSV); cvtColor(src2, src2, COLOR_BGR2HSV); cvtColor(src3, src3, COLOR_BGR2HSV); int channels[] = { 0,1 }; int histsize[] = { 180,255 }; float r1[] = { 0,180 }; float r2[] = { 0,255 }; const float *ranges[] = { r1,r2 }; Mat hist1, hist2, hist3; calcHist(&src1, 3, channels, Mat(), hist1, 2, histsize, ranges, true); //https://www.cnblogs.com/bjxqmy/p/12292421.html normalize(hist1, hist1, 1, 0, NORM_L1); calcHist(&src2, 3, channels, Mat(), hist2, 2, histsize, ranges, true); normalize(hist2, hist2, 1, 0, NORM_L1); calcHist(&src3, 3, channels, Mat(), hist3, 2, histsize, ranges, true); normalize(hist3, hist3, 1, 0, NORM_L1); int method[] = { HISTCMP_CORREL,HISTCMP_CHISQR,HISTCMP_INTERSECT,HISTCMP_BHATTACHARYYA }; string names[] = { "HISTCMP_CORREL","HISTCMP_CHISQR","HISTCMP_INTERSECT","HISTCMP_BHATTACHARYYA" }; for (int i = 0; i < 4; i++) { cout

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