彩色图像和灰色图像在一个窗口下显示

本文主要是介绍彩色图像和灰色图像在一个窗口下显示，希望对大家解决编程问题提供一定的参考价值，需要的开发者们随着小编来一起学习吧！

前面写了多张彩色图像或者多张单通道图像在一个窗口下显示，有时候需要彩色图像和黑白图像同事显示，方便对比。

以下即彩色图像和灰色图像在一个窗口下显示的代码：

现在在做项目是芯片检测。

#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>

//========函数CombineImage()： 3通道和单通道图像合并 ======

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;

}

//================================== 主函数 =======================================

int main(int argc,char** argv)

{

//加载原始彩色图片

IplImage* src_image = cvLoadImage("F:\\image\\贴片.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);

//二值化转化成黑白图像

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

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

//一张3通道和一张单通道图像合并

IplImage *combImg = CombineImage(src_image,canny_image); //图像合并函数

cvNamedWindow("CombineImage",1);

cvResizeWindow("CombineImage",700,660);

cvShowImage( "CombineImage", combImg);

cvWaitKey();

cvReleaseImage(&combImg);

cvDestroyWindow("CombineImage");

cvReleaseImage(&filter_image);

return 0;

}

//左侧是原彩色图，右边是二值化后的图像：