cv::MatIterator_

应用1：图像补运算：MatIterator_迭代器反色处理：

#include <opencv2/video/background_segm.hpp>
#include <iostream>    
#include<core/core.hpp>    
#include<highgui/highgui.hpp>  

// 注意srcImage为3通道的彩色图片
cv::Mat inverseColor4(cv::Mat &srcImage)
{
    cv::Mat tempImage = srcImage.clone();
    // 初始化源图像迭代器  
    cv::MatConstIterator_<cv::Vec3b> srcIterStart =
        srcImage.begin<cv::Vec3b>();
    cv::MatConstIterator_<cv::Vec3b> srcIterEnd =
        srcImage.end<cv::Vec3b>();
    // 初始化输出图像迭代器  
    cv::MatIterator_<cv::Vec3b> resIterStart =
        tempImage.begin<cv::Vec3b>();
    cv::MatIterator_<cv::Vec3b> resIterEnd =
        tempImage.end<cv::Vec3b>();
    // 遍历图像反色处理  
    while (srcIterStart != srcIterEnd)
    {
        (*resIterStart)[0] = 255 - (*srcIterStart)[0];
        (*resIterStart)[1] = 255 - (*srcIterStart)[1];
        (*resIterStart)[2] = 255 - (*srcIterStart)[2];
        // 迭代器递增  
        srcIterStart++;
        resIterStart++;
    }
    return tempImage;
}

int main(void)
//int test01()
{
    cv::Mat image = cv::imread("D:\小女孩与熊.jpg");
    if (image.empty())
    {
        std::cerr << "Load image failed!" << std::endl;
        return 0;
    }

    cv::Mat result = inverseColor4(image);
    cv::imshow("src", image);
    cv::imshow("result", result);
    cv::waitKey();

    return 0;
}

https://blog.csdn.net/gone_huilin/article/details/53222573

Gamma校正原理及实现：

https://blog.csdn.net/linqianbi/article/details/78617615

opencv 3.0 Mat STL 迭代器的使用：https://blog.csdn.net/billbliss/article/details/42806459