OpenCV-每天坚持一点点(6)

最新推荐文章于 2024-03-05 22:30:28 发布

原创最新推荐文章于 2024-03-05 22:30:28 发布 · 225 阅读

0 ·

CC 4.0 BY-SA版权

文章标签：

#直方图 #OpenCV

OpenCV 专栏收录该内容

8 篇文章

订阅专栏

本文介绍了一种增强图像对比度的方法——直方图均衡化，并通过OpenCV实现了具体的图像处理流程。首先分离图像的RGB通道，计算各通道的直方图并绘制，接着进行直方图均衡化处理，最后再次计算均衡化后的图像直方图，直观展示对比效果。

摘要生成于 C知道，由 DeepSeek-R1 满血版支持，前往体验 >

完成如图所示的直方图均衡化。直方图均衡化，可以增强图像的对比度。使用calcHist计算图像的直方图，使用equalzeHist进行直方图的均衡化。

#include <opencv2/opencv.hpp>
#include <iostream>
using namespace cv;
using namespace std;

void histogramcalculation(const Mat &Image, Mat &histoImage)
{
int histSize = 255;

float range[] = { 0,256 };
const float* histRange = { range };

bool uniform = true;
bool accumulate = false;

   Mat b_hist, g_hist, r_hist;
//通道分离
   vector<Mat> bgr_planes;
   split(Image, bgr_planes);

//计算各个通道的直方图

   calcHist(&bgr_planes[0], 1, 0, Mat(), b_hist, 1, &histSize, &histRange, uniform, accumulate);
   calcHist(&bgr_planes[1], 1, 0, Mat(), g_hist, 1, &histSize, &histRange, uniform, accumulate);
   calcHist(&bgr_planes[2], 1, 0, Mat(), r_hist, 1, &histSize, &histRange, uniform, accumulate);

   int hist_w = 512;
   int hist_h = 400;
   int bin_w = cvRound((double)hist_w / histSize);
   Mat histImage(hist_h, hist_w,CV_8UC3, Scalar(0, 0, 0));

//将各个通道的直方图结果归一化处理。
   normalize(b_hist, b_hist, 0, histImage.rows, NORM_MINMAX, -1, Mat());
   normalize(g_hist, g_hist, 0, histImage.rows, NORM_MINMAX, -1, Mat());
   normalize(r_hist, r_hist, 0, histImage.rows, NORM_MINMAX, -1, Mat());

//绘制各个通道的直方图

   for (int i = 1; i < histSize;i++)
   {
       line(histImage, Point(bin_w*(i - 1), hist_h - cvRound(b_hist.at<float>(i - 1))), Point(bin_w*(i), hist_h - cvRound(b_hist.at<float>(i))), Scalar(255, 0, 0), 2, 8, 0);
       line(histImage, Point(bin_w*(i - 1), hist_h - cvRound(g_hist.at<float>(i - 1))), Point(bin_w*(i), hist_h - cvRound(g_hist.at<float>(i))), Scalar(0, 255, 0), 2, 8, 0);
       line(histImage, Point(bin_w*(i - 1), hist_h - cvRound(r_hist.at<float>(i - 1))), Point(bin_w*(i), hist_h - cvRound(r_hist.at<float>(i))), Scalar(0, 0, 255), 2, 8, 0);
   }

//返回结果
   histoImage = histImage;
}
int main()
{
   Mat src;
   Mat imgeq;
   Mat histImage;
   Mat histEq;
   src = imread("E:\\1.jpg");
   if (!src.data)
   {
       cout << "Error Image!" << endl;
   }
   vector<Mat> bgr_Planes;
   split(src, bgr_Planes);
   imshow("src", src);