数组图像处理1:使用迭代器处理图片的像素

#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;
}

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转载自blog.csdn.net/qq_25974431/article/details/89361648