1. 程式人生 > >IplImage的使用 從三通道圖中分離出三個單通道

IplImage的使用 從三通道圖中分離出三個單通道

// 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;
}