IplImage的使用 從三通道圖中分離出三個單通道
阿新 • • 發佈:2019-02-03
// opncvtest.cpp : 定義控制檯應用程式的入口點。 // #include "stdafx.h" #include<stdio.h> #include <opencv2/opencv.hpp> using namespace std; using namespace cv; int _tmain(int argc, _TCHAR* argv[]) { const char* imagename = "itti.jpg"; //從檔案中讀入影象 IplImage * img = cvLoadImage("C:\\Users\\laicb\\Desktop\\test.jpg"); //如果讀入影象失敗 IplImage * b = cvCreateImage(cvGetSize(img),IPL_DEPTH_8U,1); IplImage * g = cvCreateImage(cvGetSize(img),IPL_DEPTH_8U,1); IplImage * r = cvCreateImage(cvGetSize(img),IPL_DEPTH_8U,1); printf("width = %d,height = %d chanels= %d depth = %d",img->width,img->height,img->nChannels,img->depth); char * data = img->imageData; int step = img->widthStep; int chanel = img->nChannels; char * bdata = b->imageData; char * gdata = g->imageData; char * rdata = r->imageData; for(int i=0;i<img->height;i++) { for(int j=0;j<img->width;j++)//這裡注意三通道的step是單通道的三倍,這裡注意除以3,否則陣列越界,IPL_DEPTH_8U { bdata[i*step/3 + j] = data[i*step + j*chanel]; gdata[i*step/3 + j] = data[i*step + j*chanel + 1]; rdata[i*step/3 + j] = data[i*step + j*chanel + 2]; } } //顯示影象 cvNamedWindow("blue"); cvNamedWindow("green"); cvNamedWindow("red"); cvShowImage("blue",b); cvShowImage("green",g); cvShowImage("red",r); cvNamedWindow("Window Test"); cvShowImage("Window Test",img); cvWaitKey(0); cvReleaseImage(&img); cvDestroyWindow("Window Test"); //此函式等待按鍵,按鍵盤任意鍵就返回 waitKey(); return 0; }