#include<opencv2\opencv.hpp>void colorReduce(cv::Mat &image, int div=64){ int nr= image.rows; // number of rows int nc= image.cols * image.channels(); // total number of elements per line if (image.isContinuous()) {// then no padded pixelsnc= nc*nr;nr= 1; // it is now a 1D array } int n= static_cast<int>(log(static_cast<double>(div))/log(2.0)); // mask used to round the pixel value uchar mask= 0xFF<<n; // e.g. for div=16, mask= 0xF0 for (int j=0; j<nr; j++) {uchar* data= image.ptr<uchar>(j);for (int i=0; i<nc; i++) {*data++= *data&mask + div/2;} // end of row} } int main(int argc,char* argv[]){cv::Mat pImg;pImg=cv::imread("lena.jpg");cv::imshow("Image",pImg);colorReduce(pImg);cv::imshow("pImg",pImg);cv::waitKey(0);return 0;}
Mat::reshape在无需复制数据的前提下改变2D矩阵的形状和通道数或其中之一。C++: Mat Mat::reshape(int cn, int rows=0) const参数：cn – 新的通道数。若cn=0，，那么通道数就保持不变。rows –新的行数。 若rows = 0, 那么行数保持不变。
if (image.isContinuous()){image.reshape(1,image.cols*image.rows);}int nr= image.rows; // number of rows int nc= image.cols * image.channels(); // total number of elements per line 和上面一样效果！
突然之间失去了语言。那才是真正的寂寞，
