opencv坐标系测试

来源:互联网 发布:2018mpacc知乎 编辑:程序博客网 时间:2024/05/01 01:44
#include <iostream>  //#include <opencv2/core/core.hpp>  //#include <opencv2/highgui/highgui.hpp>  #include<opencv2/opencv.hpp>using namespace std;using namespace cv;int main(){Mat image, image_3c;image.create(Size(256, 256), CV_8UC1);image_3c.create(Size(256, 256), CV_8UC3);   //3通道的图像  image.setTo(0);image_3c.setTo(0);image.at<uchar>(0, 200) = 255; //使用at函数的地方,用的是10,200  Point point(20, 100);image.at<uchar>(point) = 250;//使用at函数的地方,用的是Point(10,200)  //image_3c.at<uchar>(10, 300) = 255;//image_3c.at<uchar>(10, 200) = 254;Point point_3c(20, 100);image_3c.at<uchar>(point_3c) = 250;double maxVal = 0; //最大值一定要赋初值,否则运行时会报错  Point maxLoc;minMaxLoc(image, NULL, &maxVal, NULL, &maxLoc);cout << "单通道图像最大值: " << maxVal << endl;double min_3c, max_3c;//注意多通道在使用minMaxLoc()函数是不能给出其最大最小值坐标的,因为每个像素点其实有多个坐标,所以是不会给出的  minMaxLoc(image_3c, &min_3c, &max_3c, NULL, NULL);cout << "3通道图像最大值: " << max_3c << endl;imshow("image", image);imshow("image_3c", image_3c);waitKey(0);return 0;}

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