《学习OpenCV》第七章直方图(练习7.2)

最新推荐文章于 2024-06-21 10:04:31 发布

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最新推荐文章于 2024-06-21 10:04:31 发布 · 508 阅读

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给定三幅在书中讨论的不同光照条件下的手图像，利用cvCalcHist()来获得室内拍照的手的色肤直方图

分别给定2维、8维、16维、32维、256维进行运算

#include <iostream>
#include <opencv2/opencv.hpp>
#include <opencv2/highgui.hpp>

using namespace std;
using namespace cv;

#define cvQueryHistValue_1D( hist, idx0 )   cvGetReal1D( (hist)->bins, (idx0) )
#define cvQueryHistValue_2D( hist, idx0 , idx1 )   cvGetReal2D( (hist)->bins, (idx0) , (idx1))
#define binNum 2   //   每一位幅bin的大小

/*画直方图*/
void DisplayHistogram(CvHistogram * hist , char * windName)
{
    if(!hist || !windName)
    {
        return;
    }
    int scale = 100; //缩放比例
    int h_bins = hist->mat.dim[0].size;
    int s_bins = hist->mat.dim[1].size;
    IplImage * histImg = cvCreateImage(cvSize(h_bins * scale , s_bins * scale), 8, 3);
    cvSetZero(histImg);
    //显示直方图
    float max_value = 0;
    float bin_value = 0;
    int   intensity = 0;
    cvGetMinMaxHistValue(hist, 0, &max_value,0,0);
    for(int i = 0;i<h_bins;i++)
    {
        for(int j = 0;j<s_bins;j++)
        {
            bin_value = cvQueryHistValue_2D( hist, i, j);
            intensity = cvRound(bin_value * 255 / max_value);
            cvRectangle(histImg, cvPoint(i*scale, j*scale), cvPoint((i+1)*scale-1, (j+1)*scale-1),
                                                CV_RGB(intensity, intensity, intensity),CV_FILLED);
            
        }
    }
    cvNamedWindow(windName);
    cvShowImage(windName, histImg);

}


int main(int argc, const char * argv[]) {
    /*1、加载图片*/
    const char filename1[] = "/Users/linwang/Downloads/hand1.jpg";
    const char filename2[] = "/U