#include <iostream>
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
using namespace std;
using namespace cv;
void colorReduce(Mat &inputImage, Mat &outputImage, int div)
{
outputImage = inputImage.clone();
Mat_<Vec3b>::iterator it = inputImage.begin<Vec3b>();
Mat_<Vec3b>::iterator itend = inputImage.end<Vec3b>();
Mat_<Vec3b>::iterator itout = outputImage.begin<Vec3b>();
for (; it != itend; it++, itout++)
{
(*itout)[0] = (*it)[0] / div * div + div / 2;
(*itout)[1] = (*it)[1] / div * div + div / 2;
(*itout)[2] = (*it)[2] / div * div + div / 2;
}
}
int main()
{
Mat image, result1, result2,result3;
cout << image.size().height << " " << image.size().width << endl;
image = imread("f:\\图片\\小包总.jpg");
if (!image.data)
{
cout << "read image file fail!" << endl;
}
cout << image.channels() << endl;
namedWindow("Original Image");
imshow("Original Image", image);
colorReduce(image, result1, 4);
namedWindow("Output1 Image");
imshow("Output1 Image", result1);
colorReduce(image, result2, 16);
namedWindow("Output2 Image");
imshow("Output2 Image", result2);
colorReduce(image, result3, 128);
namedWindow("Output3 Image");
imshow("Output3 Image", result3);
waitKey(0);
return 0;
}
数组图像处理1:使用迭代器处理图片的像素
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转载自blog.csdn.net/qq_25974431/article/details/89361648
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