[9]opencv影象通道合併,分離,混合
阿新 • • 發佈:2022-03-17
這一段程式碼實現的是分離與混合
注:影象分離後會將rbg各個資料傳入mv陣列中
#include<opencv2/opencv.hpp> #include <iostream> using namespace std; int main() { //影象的分離: cv::Mat photo = cv::imread("0003.jpg"); cv::Mat output = cv::Mat(photo.size(), photo.type()); std::vector<cv::Mat> mv; split(photo, mv);imshow("Blue Channel", mv[0]); imshow("Green Channel", mv[1]); imshow("Red Channel", mv[2]); //影象合併: cv::Mat photo_alter_1, photo_alter_2, photo_alter_3; mv[1] = 0; mv[2] = 0; cv::merge(mv, photo_alter_1); imshow("altered_1", photo_alter_1); split(photo, mv);mv[1] = 0; mv[0] = 0; cv::merge(mv, photo_alter_2); imshow("altered_2", photo_alter_2); split(photo, mv); mv[0] = 0; mv[2] = 0; cv::merge(mv, photo_alter_3); imshow("altered_3", photo_alter_3); cv::waitKey(0); }
關於影象混合(有點難):
C++: void mixChannels(const Mat*src, size_t nsrcs, Mat* dst, size_t ndsts, constint* fromTo, size_t npairs)
void mixChannels( const Mat* src, //輸入陣列或向量矩陣,所有矩陣的大小和深度必須相同。 size_t nsrcs, //矩陣的數量 Mat* dst, //輸出陣列或矩陣向量,大小和 深度必須與src[0]相同 size_t ndsts,//矩陣的數量 const int* fromTo,//指定被複制通道與要複製到的位置組成的索引對(字面意思) size_t npairs //fromTo中索引對的數目 );
#include<opencv2/opencv.hpp> #include <iostream> using namespace std; int main() { //影象的分離: cv::Mat photo = cv::imread("0002.jpg"); cv::Mat output = cv::Mat(photo.size(), photo.type()); std::vector<cv::Mat> mv; split(photo, mv); imshow("Blue Channel", mv[0]); imshow("Green Channel", mv[1]); imshow("Red Channel", mv[2]); //影象合併: cv::Mat photo_alter_1, photo_alter_2, photo_alter_3; mv[1] = 0; mv[2] = 0; cv::merge(mv, photo_alter_1); imshow("altered_1", photo_alter_1); split(photo, mv); mv[1] = 0; mv[0] = 0; cv::merge(mv, photo_alter_2); imshow("altered_2", photo_alter_2); split(photo, mv); mv[0] = 0; mv[2] = 0; cv::merge(mv, photo_alter_3); imshow("altered_3", photo_alter_3); //影象混合 cv::Mat dst = cv::Mat::zeros(photo.size(), photo.type()); int ft[] = { 0,1,2,0,1,2 }; /* 0變1 2變0 1變2 0,1,2對應各個通道,略 */ mixChannels(&photo, 1, &dst, 1, ft, 3); cv::imshow("Mix", dst); cv::waitKey(0); }