彩色圖像和灰色圖像在一個窗口下顯示

前面寫了多張彩色圖像或者多張單通道圖像在一個窗口下顯示，有時候需要彩色圖像和黑白圖像同事顯示，方便對比。

以下即彩色圖像和灰色圖像在一個窗口下顯示的代碼：

現在在做項目是芯片檢測。

#include <opencv2/opencv.hpp>

#include <highgui.h>

#include <cv.h>

#include <cxcore.h>

#include <iostream> 

#include <cv.h>  

#include <highgui.h>  

#include <stdio.h>  

#include <stdarg.h>  

#include <time.h>  

//========函數CombineImage()： 3通道和單通道圖像合併  ======

IplImage *CombineImage(IplImage *rgbImg, IplImage *greyImg)  

{  

    if (rgbImg == NULL || greyImg == NULL)  

        return NULL;  

  

    int width = rgbImg->width;  

    int height = rgbImg->height;  

  

    IplImage *combImg = cvCreateImage(cvSize(width * 2, height), 8, 3);  

    IplImage *cvtImg = cvCreateImage(cvSize(width, height), 8, 3);  

    cvCvtColor(greyImg, cvtImg, CV_GRAY2BGR);  

  

    for (int row = 0; row < combImg->height; row++)  

    {  

        for (int col = 0; col < combImg->width; col++)  

        {  

            if (col < width)  

            {  

                CV_IMAGE_ELEM(combImg, unsigned char, row, 3 * col) = CV_IMAGE_ELEM(rgbImg, unsigned char, row, 3 * col);  

                CV_IMAGE_ELEM(combImg, unsigned char, row, 3 * col + 1) = CV_IMAGE_ELEM(rgbImg, unsigned char, row, 3 * col + 1);  

                CV_IMAGE_ELEM(combImg, unsigned char, row, 3 * col + 2) = CV_IMAGE_ELEM(rgbImg, unsigned char, row, 3 * col+ 2);  

            }  

            else  

            {  

                CV_IMAGE_ELEM(combImg, unsigned char, row, 3 * col) = CV_IMAGE_ELEM(cvtImg, unsigned char, row, 3 * (col-width));  

                CV_IMAGE_ELEM(combImg, unsigned char, row, 3 * col + 1) = CV_IMAGE_ELEM(cvtImg, unsigned char, row, 3 * (col - width) + 1);  

                CV_IMAGE_ELEM(combImg, unsigned char, row, 3 * col + 2) = CV_IMAGE_ELEM(cvtImg, unsigned char, row, 3 * (col - width) + 2);  

            }  

        }  

    }  

    cvReleaseImage(&cvtImg);  

    return combImg;  

} 

//================================== 主函數 =======================================

int main(int argc,char** argv)

{

//加載原始彩色圖片

IplImage* src_image = cvLoadImage("F:\\image\\貼片.jpg",

CV_LOAD_IMAGE_ANYDEPTH | CV_LOAD_IMAGE_ANYCOLOR);

if (src_image == NULL)  return -1;

//平滑

IplImage* smooth_image = cvCreateImage(cvGetSize(src_image),IPL_DEPTH_8U,3);

cvSmooth(src_image,smooth_image,CV_MEDIAN /*CV_GAUSSIAN CV_BILATERAL*/,5,5,0,0);//CV_MEDIAN  CV_BILATERAL

//灰度化

IplImage* gray_image = cvCreateImage(cvGetSize(smooth_image),IPL_DEPTH_8U,1);

cvCvtColor(smooth_image,gray_image,CV_RGB2GRAY);

 //二值化轉化成黑白圖像

IplImage* canny_image = cvCreateImage(cvGetSize(gray_image),IPL_DEPTH_8U,1);

cvThreshold(gray_image,canny_image, 140, 255, CV_THRESH_BINARY);

//一張3通道和一張單通道圖像合併

IplImage *combImg = CombineImage(src_image,canny_image); //圖像合併函數

cvNamedWindow("CombineImage",1); 

cvResizeWindow("CombineImage",700,660);

cvShowImage( "CombineImage", combImg);  

cvWaitKey();  

cvReleaseImage(&combImg);   

        cvDestroyWindow("CombineImage");

cvReleaseImage(&filter_image);   

return 0;

}

//左側是原彩色圖，右邊是二值化後的圖像：