计算机视觉_OpenCV开源库讲解(第二节:图像的算术操作)

图像的算术操作:
1、加:add(src1, src2, dst);

2、减:subtract(src1, src2, dst);

3、乘:multiply(src1, src2, dst);

4、除:divide(src1, src2, dst);

#include “opencv2\opencv.hpp”
#include

using namespace std;
using namespace cv;

int main(int argv, char** argc)
{
Mat src1 = imread(“xxx”);
Mat src2 = imread(“xxxx”);

if (src1.empty()||src2.empty())
{
    printf("Could not load image src1 or src2...\n");
    return -1;
}
Mat addResult = Mat::zeros(src1.size(), src1.type());
add(src1, src2, addResult);
imshow("addResult", addResult);

Mat subResult = Mat::zeros(src1.size(), src1.type());
subtract(src1, src2, subResult);
imshow("subResult", subResult);

Mat mulResult = Mat::zeros(src1.size(), src1.type());
multiply(src1, src2, mulResult);
imshow("mulResult", mulResult);

Mat divResult = Mat::zeros(src1.size(), src1.type());
divide(src1, src2, divResult);
imshow("divResult", divResult);

int b1 = 0, g1 = 0, r1 = 0;
int b2 = 0, g2 = 0, r2 = 0;
int b = 0, g = 0, r = 0;
int height = src1.rows;
int width = src1.cols;

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];
        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);
        result .at<Vec3b>(row, col)[1] = saturate_cast<uchar>(g1 * g2);
        result .at<Vec3b>(row, col)[2] = saturate_cast<uchar>(r1 * r2);
    }
}
imshow("saturateResult", saturateResult);

waitKey(0);
return 0;

}

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转载自blog.csdn.net/qq_41408585/article/details/103905143