直方图可视化，图像阈值化

来源：互联网发布：发货找物流软件编辑：程序博客网时间：2024/05/18 07:59
#ifndef HISTOGRAM_H_#define HISTOGRAM_H_#include<opencv2/core/core.hpp>#include<opencv2/highgui/highgui.hpp>#include<opencv2/imgproc/imgproc.hpp>#include <opencv2/calib3d/calib3d.hpp>#include<iostream>#include <vector> using namespace std; using namespace cv;   class Histogram1D { private: int histSize[1]; float hranges[2]; const float *ranges[1]; int channels[1]; public: Histogram1D() { histSize[0]=256; hranges[0]=0.0; hranges[1]=255.0; ranges[0]=hranges; channels[0]=0; }; cv::MatND getHistogram(const cv::Mat &image) { cv::MatND hist; cv::calcHist(&image,1,channels,cv::Mat(),hist,1,histSize,ranges); return hist; }; cv::Mat getHistogramImage(const cv::Mat &image) { cv::MatND hist=getHistogram(image); double maxVal=0; double minVal=0; cv::minMaxLoc(hist,&minVal,&maxVal,0,0); cv::Mat histImg(histSize[0],histSize[0],CV_8U,cv::Scalar(255)); int hpt=static_cast<int>(0.9*histSize[0]); for(int h=0;h<histSize[0];h++) { float binVal=hist.at<float>(h); int intensity=static_cast<int>(binVal*hpt/maxVal); cv::line(histImg,cv::Point(h,histSize[0]),cv::Point(h,histSize[0]-intensity),cv::Scalar::all(0)); } return histImg; }; };#endif /* HISTOGRAM_H_ */#include"Histogram1D.h"  int main() { cv::Mat image=cv::imread("d:\\test\\opencv\\group.jpg",0); if( !image.data ) exit(0); Histogram1D h; cv::namedWindow("Histogram"); cv::imshow("Histogram",h.getHistogramImage(image)); cv::Mat thresholded; cv::threshold(image,thresholded,60,255,cv::THRESH_BINARY); cv::namedWindow("Binary Image"); cv::imshow("Binary Image",thresholded); waitKey(0); return 0; }
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