基於像素點的算術操做ios
加add、減subtract、乘multiply、除divideide
saturate_cast<T>(value)spa
#include <opencv2/opencv.hpp>ip
#include <iostream>input
using namespace cv;it
using namespace std;io
int main(int artc, char** argv) {opencv
Mat src1 = imread("D:/test1.jpg");ast
Mat src2 = imread("D:/test2.jpg");test
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];//訪問像素值
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);//像素值類型轉換
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);//圖像加法操做
imshow("add_result", add_result);
Mat sub_result = Mat::zeros(src1.size(), src1.type());
subtract(src1, src2, sub_result);//圖像減法操做
imshow("sub_result", sub_result);
Mat mul_result = Mat::zeros(src1.size(), src1.type());
multiply(src1, src2, mul_result);//圖像乘法操做
imshow("mul_result", mul_result);
Mat div_result = Mat::zeros(src1.size(), src1.type());
divide(src1, src2, div_result);//圖像除法操做
imshow("div_result", div_result);
waitKey(0);
return 0;
}