Opencv——Mat像素算术操作

基于像素点的算术操作

加add、减subtract、乘multiply、除divide

saturate_cast<T>(value)

#include <opencv2/opencv.hpp>

#include <iostream>

using namespace cv;

using namespace std;

int main(int artc, char** argv) {

         Mat src1 = imread("D:/test1.jpg");

         Mat src2 = imread("D:/test2.jpg");

         if (src1.empty() || src2.empty()) {

                  printf("could not load image...\n");

                  return -1;

         }

         namedWindow("input", CV_WINDOW_AUTOSIZE);

         imshow("input1", src1);

         imshow("input2", src2);

         int height = src1.rows;

         int width = src1.cols;

         int b1 = 0, g1 = 0, r1 = 0;

         int b2 = 0, g2 = 0, r2 = 0;

         int b = 0, g = 0, r = 0;

         Mat result = Mat::zeros(src1.size(), src1.type());

         for (int row = 0; row < height; row++) {

                  for (int col = 0; col < width; col++) {

                                   b1 = src1.at<Vec3b>(row, col)[0];//访问像素值

                                   g1 = src1.at<Vec3b>(row, col)[1];

                                   r1 = src1.at<Vec3b>(row, col)[2];

 

                                   b2 = src2.at<Vec3b>(row, col)[0];

                                   g2 = src2.at<Vec3b>(row, col)[1];

                                   r2 = src2.at<Vec3b>(row, col)[2];

                                   result.at<Vec3b>(row, col)[0] = saturate_cast<uchar>(b1 + b2);//像素值类型转换

                                   result.at<Vec3b>(row, col)[1] = saturate_cast<uchar>(g1 + g2);

                                   result.at<Vec3b>(row, col)[2] = saturate_cast<uchar>(r1 + r2);

                  }

         }

         imshow("output", result);

 

         Mat add_result = Mat::zeros(src1.size(), src1.type());

         add(src1, src2, add_result);//图像加法操作

         imshow("add_result", add_result);

 

         Mat sub_result = Mat::zeros(src1.size(), src1.type());

         subtract(src1, src2, sub_result);//图像减法操作

         imshow("sub_result", sub_result);

 

         Mat mul_result = Mat::zeros(src1.size(), src1.type());

         multiply(src1, src2, mul_result);//图像乘法操作

         imshow("mul_result", mul_result);

 

         Mat div_result = Mat::zeros(src1.size(), src1.type());

         divide(src1, src2, div_result);//图像除法操作

         imshow("div_result", div_result);

        

         waitKey(0);

         return 0;

}