学OpenCV
==============================================
通过掩模,可以实现抠图和通道选择的效果。
这里用的是min
==============================================
1 #include <iostream> 2 3 #include <opencv2/opencv.hpp> 4 #include <opencv2/core/utils/logger.hpp> 5 6 7 template <typename T> 8 T* MakeSerialArr(int datasize) 9 { 10 T* ptr = new T[datasize]; 11 for (int i = 0; i < datasize; i++) 12 { 13 ptr[i] = (T)i; 14 } 15 return ptr; 16 } 17 18 #define SerialArr_Heap(name,type,size) \ 19 type* name = new type[size];\ 20 for (int i = 0; i < size; i++) \ 21 {\ 22 name[i] = (type)i;\ 23 } 24 25 #define SerialArr_Stack(name,type,size) \ 26 type name[size]={};\ 27 for (int i = 0; i < size; i++) \ 28 {\ 29 name[i] = (type)i;\ 30 } 31 32 33 void Test1() 34 { 35 float arrA[12] = { 1,2,3.3,4,5,9,5,7,8.2,9,10,2 }; 36 float arrB[12] = { 1,2.2,3,1,3,10,6,7,8,9.3,10,1 }; 37 38 cv::Mat imga(3, 4, CV_32FC1,arrA); 39 cv::Mat imgb(3, 4, CV_32FC1, arrB); 40 41 cv::Mat imgas(2, 3, CV_32FC2, arrA); 42 cv::Mat imgbs(2, 3, CV_32FC2, arrB); 43 44 cv::Mat max, min,maxs,mins; 45 cv::max(imga, imgb, max); 46 cv::min(imga, imgb, min); 47 cv::max(imgas, imgbs, maxs); 48 cv::min(imgas, imgbs, mins); 49 50 std::cout << "Test1 max " << max << std::endl; 51 std::cout << "Test1 min " << min << std::endl; 52 std::cout << "Test1 maxs " << maxs << std::endl; 53 std::cout << "Test1 mins " << mins << std::endl; 54 } 55 56 void Test2() 57 { 58 cv::Mat imgLena = cv::imread(R"(C:\testNoGit\learnOpenCV4-master\data\lena.png)"); 59 cv::Mat imgNoobcv = cv::imread(R"(C:\testNoGit\learnOpenCV4-master\data\noobcv.jpg)"); 60 if (imgLena.empty() || imgNoobcv.empty()) 61 { 62 std::cout << "bad file" << std::endl; 63 return; 64 } 65 66 cv::Mat min, max; 67 cv::min(imgLena, imgNoobcv, min); 68 cv::max(imgLena, imgNoobcv, max); 69 cv::imshow("Test2 imgLena", imgLena); 70 cv::imshow("Test2 imgNoobcv", imgNoobcv); 71 cv::imshow("Test2 min", min); 72 cv::imshow("Test2 max", max); 73 } 74 75 void Test3() 76 { 77 cv::Mat imgLena = cv::imread(R"(C:\testNoGit\learnOpenCV4-master\data\lena.png)"); 78 79 cv::Mat mask1 = cv::Mat::zeros(cv::Size(512, 512), CV_8UC3); 80 cv::Rect rect(100, 100, 300, 300); 81 mask1(rect) = cv::Scalar(255, 255, 255); 82 83 cv::Mat min, max; 84 cv::min(imgLena, mask1, min); 85 cv::max(imgLena, mask1, max); 86 cv::imshow("Test3 min", min); 87 cv::imshow("Test3 max", max); 88 } 89 90 void Test4() 91 { 92 cv::Mat imgLena = cv::imread(R"(C:\testNoGit\learnOpenCV4-master\data\lena.png)"); 93 94 cv::Mat mask1 = cv::Mat(512, 512, CV_8UC3,cv::Scalar(0,0,255)); 95 96 cv::Mat min, max; 97 cv::min(imgLena, mask1, min); 98 cv::max(imgLena, mask1, max); 99 cv::imshow("Test4 min", min); 100 cv::imshow("Test4 max", max); 101 } 102 103 void Test5() 104 { 105 cv::Mat imgLena = cv::imread(R"(C:\testNoGit\learnOpenCV4-master\data\lena.png)"); 106 cv::Mat imgNoobcv = cv::imread(R"(C:\testNoGit\learnOpenCV4-master\data\noobcv.jpg)"); 107 cv::Mat imgLenaG, imgNoobcvG; 108 cv::cvtColor(imgLena, imgLenaG, cv::COLOR_BGR2GRAY); 109 cv::cvtColor(imgNoobcv, imgNoobcvG, cv::COLOR_BGR2GRAY); 110 cv::Mat minG, maxG; 111 cv::min(imgLenaG, imgNoobcvG, minG); 112 cv::max(imgLenaG, imgNoobcvG, maxG); 113 114 cv::imshow("Test5 min", minG); 115 cv::imshow("Test5 max", maxG); 116 } 117 118 int main() 119 { 120 cv::utils::logging::setLogLevel(cv::utils::logging::LOG_LEVEL_ERROR); 121 122 Test1(); 123 Test2(); 124 Test3(); 125 Test4(); 126 Test5(); 127 128 cv::waitKey(0); 129 130 return 0; 131 }
==============================================
掩模
==============================================
效果
==============================================
标签:name,min,max,两幅,type,cv,size From: https://www.cnblogs.com/wlsandwho/p/18371690