오늘의 사건사고 :: [OpenCV] 각 Color Space(색 공간) 별 채널 분리하기

'Color Space'에 해당되는 글 1건

2008/11/09 [OpenCV] 각 Color Space(색 공간) 별 채널 분리하기 (4)

[OpenCV] 각 Color Space(색 공간) 별 채널 분리하기

Image Processing 2008/11/09 05:22

선배들이 쉽다고 하는게 이해가 안갔는데, 막상 만들어놓고 보니 쉽긴 쉽다.

다만, 각 Color Space 별 특징이나 다른점 등을 이해하는게 어려운 듯.

역시나 이번껏도 막상 만들어놓고 제대로 만든건지 의문이다...

책 주문해놨으니, 오면 좀 제대로 봐야지...-_-;;

- 프로그램 작동 동영상

- 소스코드

/*
 *  main.cpp
 *  OpenCV Application
 *
 *  Created by RyuiSaka on 08. 11. 09.
 *  Copyright 2008 Kwangwoon University. All rights reserved.
 *
 */

#include <OpenCV/OpenCV.h>

int main(int argc, char **argv)
{
	IplImage* sourceImage = cvLoadImage("./test.jpg", CV_LOAD_IMAGE_COLOR);
	IplImage* convertedImage = cvCreateImage(cvGetSize(sourceImage), IPL_DEPTH_8U, 3);
	IplImage* outputImage1 = cvCreateImage(cvGetSize(sourceImage), IPL_DEPTH_8U, 1);
	IplImage* outputImage2 = cvCreateImage(cvGetSize(sourceImage), IPL_DEPTH_8U, 1);
	IplImage* outputImage3 = cvCreateImage(cvGetSize(sourceImage), IPL_DEPTH_8U, 1);

char* sourceImageWindow = "Source Image Window";
	char* outputWindowCh1 = "Output Image Window - Ch 1";
	char* outputWindowCh2 = "Output Image Window - Ch 2";
	char* outputWindowCh3 = "Output Image Window - Ch 3";
	int key;

cvNamedWindow(sourceImageWindow, CV_WINDOW_AUTOSIZE);
	cvShowImage(sourceImageWindow, sourceImage);
	
	while(1)
	{
		key = cvWaitKey(0);
		if(key == '0') break;
		switch (key)
		{
			case '1':
				cvSplit(sourceImage, outputImage1, outputImage2, outputImage3, NULL);
				cvNamedWindow(outputWindowCh1, CV_WINDOW_AUTOSIZE);
				cvShowImage(outputWindowCh1, outputImage1);
				cvNamedWindow(outputWindowCh2, CV_WINDOW_AUTOSIZE);
				cvShowImage(outputWindowCh2, outputImage2);
				cvNamedWindow(outputWindowCh3, CV_WINDOW_AUTOSIZE);
				cvShowImage(outputWindowCh3, outputImage3);
				break;
			case '2':
				cvCvtColor(sourceImage, convertedImage, CV_BGR2YCrCb);
				cvSplit(convertedImage, outputImage1, outputImage2, outputImage3, NULL);
				cvShowImage(outputWindowCh1, outputImage1);
				cvShowImage(outputWindowCh2, outputImage2);
				cvShowImage(outputWindowCh3, outputImage3);
				break;
			case '3':
				cvCvtColor(sourceImage, convertedImage, CV_BGR2HSV);
				cvSplit(convertedImage, outputImage1, outputImage2, outputImage3, NULL);
				cvShowImage(outputWindowCh1, outputImage1);
				cvShowImage(outputWindowCh2, outputImage2);
				cvShowImage(outputWindowCh3, outputImage3);
				break;
			case '4':
				cvCvtColor(sourceImage, convertedImage, CV_BGR2HLS);
				cvSplit(convertedImage, outputImage1, outputImage2, outputImage3, NULL);
				cvShowImage(outputWindowCh1, outputImage1);
				cvShowImage(outputWindowCh2, outputImage2);
				cvShowImage(outputWindowCh3, outputImage3);
				break;
			case '5':
				cvCvtColor(sourceImage, convertedImage, CV_BGR2XYZ);
				cvSplit(convertedImage, outputImage1, outputImage2, outputImage3, NULL);
				cvShowImage(outputWindowCh1, outputImage1);
				cvShowImage(outputWindowCh2, outputImage2);
				cvShowImage(outputWindowCh3, outputImage3);
				break;
			case '6':
				cvCvtColor(sourceImage, convertedImage, CV_BGR2Lab);
				cvSplit(convertedImage, outputImage1, outputImage2, outputImage3, NULL);
				cvShowImage(outputWindowCh1, outputImage1);
				cvShowImage(outputWindowCh2, outputImage2);
				cvShowImage(outputWindowCh3, outputImage3);
				break;
			case '7':
				cvCvtColor(sourceImage, convertedImage, CV_BGR2Luv);
				cvSplit(convertedImage, outputImage1, outputImage2, outputImage3, NULL);
				cvShowImage(outputWindowCh1, outputImage1);
				cvShowImage(outputWindowCh2, outputImage2);
				cvShowImage(outputWindowCh3, outputImage3);
				break;				
			default:
				break;
		}
	}
	return 0;
}