访问图像内像素的两种常用方法

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#include <iostream>#include <opencv2/opencv.hpp>using namespace std;using namespace cv;//指针读取像素void guidRead_PhotoNumber (Mat &inputImage, Mat &outputImage, int div);// 动态地址计算 读取像素void DAC_PhotoNumber (Mat &inputImage, Mat &outputImage, int div);int main(int argc, char** argv){Mat src_Image = imread ("4.jpg");imshow ("原图像", src_Image);Mat dst_Image;//指针读取像素方法 进行颜色空间缩减DAC_PhotoNumber (src_Image ,dst_Image,16);// 动态地址计算 读取像素 进行颜色空间缩减    //guidRead_PhotoNumber (src_Image ,dst_Image,16);imshow ("效果图",dst_Image);waitKey (0);return 0;}void guidRead_PhotoNumber (Mat &inputImage, Mat &outputImage, int div){outputImage = inputImage.clone ();int rowNumber = outputImage.rows ;int colNumber = outputImage.cols * outputImage.channels ();  //列数* 通道数 = 每一行所有元素个数int allNumber = colNumber * outputImage .cols  ;for (int i = 0; i<rowNumber ; i++){uchar *data = outputImage.ptr<uchar> (i);  //用 data 指向i 行的首个元素for (int j = 0; j<colNumber ; j++){// 颜色空间缩减 其中数据类型为 uchar 无符号字符类型data[j] = data[j]/div*div + div/2;}}}void DAC_PhotoNumber (Mat &inputImage, Mat &outputImage, int div){outputImage = inputImage.clone ();int rowNumber = outputImage.rows ;int colNumber = outputImage.cols;for (int i = 0; i< rowNumber ; i++){for (int j = 0; j< colNumber ; j++){// 颜色空间缩减  其中数据类型为 uchar 无符号字符类型outputImage .at<Vec3b>(i,j)[0] = outputImage .at<Vec3b>(i,j)[0] / div*div + div/2;outputImage .at<Vec3b>(i,j)[1] = outputImage .at<Vec3b>(i,j)[1]  / div*div + div/2;outputImage .at<Vec3b>(i,j)[1]  = outputImage .at<Vec3b>(i,j)[1]  / div*div + div/2;//cout <<"["<<outputImage .at<Vec3b>(i,j)[0] <<","<<outputImage .at<Vec3b>(i,j)[1] <<","<<outputImage .at<Vec3b>(i,j)[2] <<"]";}}}
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