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'테스트'에 해당되는 글 3건

2008/11/14 [OpenCV] Threshold와 Morphology 적용하기 (4)
2008/11/11 [OpenCV] 이미지 산술연산 테스트
2008/11/09 [OpenCV] 각 Color Space(색 공간) 별 채널 분리하기 (4)

[OpenCV] Threshold와 Morphology 적용하기

Image Processing 2008/11/14 17:03

- 결과

원본 이미지

Threshold 적용 후

Threshold를 적용 한 후, Morphology까지 적용

- 소스코드

#include <stdio.h>
/*
 *  main.cpp
 *  OpenCVApp
 *
 *  Created by Seongwoo Lee on 11/11/08.
 *  Copyright 2008 RyuiSaka. All rights reserved.
 *
 */

// This header includes all the opencv headers (cv, cxcore, highgui, ml)

#include <OpenCV/OpenCV.h>

int main(int argc, char** argv)
{
	IplImage* sourceImage = cvLoadImage("./test.jpg", CV_LOAD_IMAGE_COLOR);
	IplImage* hsvImage = cvCreateImage(cvGetSize(sourceImage), IPL_DEPTH_8U, 3);
	IplImage* hsvImage_h = cvCreateImage(cvGetSize(hsvImage), IPL_DEPTH_8U, 1);
	IplImage* hsvImage_s = cvCreateImage(cvGetSize(hsvImage), IPL_DEPTH_8U, 1);
	IplImage* hsvImage_v = cvCreateImage(cvGetSize(hsvImage), IPL_DEPTH_8U, 1);
	IplImage* intermediateImage = cvCreateImage(cvGetSize(sourceImage), IPL_DEPTH_8U, 1);
	IplImage* morphologyIntermediateImage = cvCreateImage(cvGetSize(sourceImage), IPL_DEPTH_8U, 1);
	IplImage* convertedImage = cvCreateImage(cvGetSize(sourceImage), IPL_DEPTH_8U, 3);
	IplImage* morphologyImage = cvCreateImage(cvGetSize(sourceImage), IPL_DEPTH_8U, 3);
	
	char* sourceWindow = "Source Image(BGR)";
	char* convertedWindow = "Converted Image(applied to the threshold)";
	char* morphologyWindow = "Converted Image2(applied to the threshold and morphology)";
	cvNamedWindow(sourceWindow, CV_WINDOW_AUTOSIZE);
	cvNamedWindow(convertedWindow, CV_WINDOW_AUTOSIZE);
	cvNamedWindow(morphologyWindow, CV_WINDOW_AUTOSIZE);
	
	cvShowImage(sourceWindow, sourceImage);

cvCvtColor(sourceImage, hsvImage, CV_BGR2HSV);
	cvSplit(hsvImage, hsvImage_h, hsvImage_s, hsvImage_v, NULL);
	cvCmpS(hsvImage_s, 40, intermediateImage, CV_CMP_GE);
	
	cvCopy(sourceImage, convertedImage, intermediateImage);
	cvShowImage(convertedWindow, convertedImage);
	
	cvErode(intermediateImage, morphologyIntermediateImage, NULL, 1);
	cvCopy(sourceImage, morphologyImage, morphologyIntermediateImage);
	cvShowImage(morphologyWindow, morphologyImage);

cvWaitKey(0);
	
	return 0;
}

크리에이티브 커먼즈 라이선스

이 저작물은 크리에이티브 커먼즈 코리아 저작자표시-비영리-변경금지 2.0 대한민국 라이선스에 따라 이용하실 수 있습니다.

Posted by RyuiSaka

TAG C++, image processing, intel, morphology, OpenCV, RyuiSaka, threshold, 류사마, 류이사카, 모폴로지, 문턱값, 씨쁠쁠, 영상처리, 오픈씨브이, 이미지 프로세싱, 인텔, 테스트, 테스트 코드

트랙백 0개, 댓글 4개가 달렸습니다

[OpenCV] 이미지 산술연산 테스트

Image Processing 2008/11/11 23:33

/*
 *  main.cpp
 *  OpenCVApp
 *
 *  Created by Seongwoo Lee on 11/11/08.
 *  Copyright 2008 RyuiSaka. All rights reserved.
 *
 */

// This header includes all the opencv headers (cv, cxcore, highgui, ml) 
#include <OpenCV/OpenCV.h>

int main(int argc, char** argv)
{	
	IplImage* sourceImage1 = cvLoadImage("source1.jpg", CV_LOAD_IMAGE_COLOR);
	IplImage* sourceImage2 = cvLoadImage("source2.jpg", CV_LOAD_IMAGE_COLOR);
	IplImage* addImage = cvCreateImage(cvGetSize(sourceImage1), IPL_DEPTH_8U, 3);
	IplImage* subImage = cvCreateImage(cvGetSize(sourceImage1), IPL_DEPTH_8U, 3);
	IplImage* mulImage = cvCreateImage(cvGetSize(sourceImage1), IPL_DEPTH_8U, 3);
	IplImage* divImage = cvCreateImage(cvGetSize(sourceImage1), IPL_DEPTH_8U, 3);
	IplImage* graySourceImage1 = cvCreateImage(cvGetSize(sourceImage1), IPL_DEPTH_8U, 1);
	IplImage* graySourceImage2 = cvCreateImage(cvGetSize(sourceImage2), IPL_DEPTH_8U, 1);
	IplImage* differenceImage = cvCreateImage(cvGetSize(sourceImage1), IPL_DEPTH_8U, 1);
	char* sourceWindow1 = "Source Window 1";
	char* sourceWindow2 = "Source Window 2";
	char* addWindow = "Add Source Images";
	char* subWindow = "Subtract Source Images";
	char* mulWindow = "Multiply Source Images";
	char* divWindow = "Divide Source Images";
	char* graySource1Window = "Gray Source Image 1";
	char* graySource2Window = "Gray Source Image 2";
	char* differenceWindow = "Difference of Two Images";
	
	cvNamedWindow(sourceWindow1, CV_WINDOW_AUTOSIZE);
	cvNamedWindow(sourceWindow2, CV_WINDOW_AUTOSIZE);
	cvNamedWindow(addWindow, CV_WINDOW_AUTOSIZE);
	cvNamedWindow(subWindow, CV_WINDOW_AUTOSIZE);
	cvNamedWindow(mulWindow, CV_WINDOW_AUTOSIZE);
	cvNamedWindow(divWindow, CV_WINDOW_AUTOSIZE);
	cvNamedWindow(graySource1Window, CV_WINDOW_AUTOSIZE);
	cvNamedWindow(graySource2Window, CV_WINDOW_AUTOSIZE);
	cvNamedWindow(differenceWindow, CV_WINDOW_AUTOSIZE);
	
	cvAdd(sourceImage1, sourceImage2, addImage);
	cvSub(sourceImage1, sourceImage2, subImage);
	cvMul(sourceImage1, sourceImage2, mulImage);
	cvDiv(sourceImage1, sourceImage2, divImage);
	cvCvtColor(sourceImage1, graySourceImage1, CV_BGR2GRAY);
	cvCvtColor(sourceImage2, graySourceImage2, CV_BGR2GRAY);
	for(int y = 0; y < graySourceImage1->height; y++)
		for(int x = 0; x < graySourceImage1->width; x++)
			if(abs(cvGetReal2D(graySourceImage1, y, x) - cvGetReal2D(graySourceImage2, y, x)) > 100)
				cvSetReal2D(differenceImage, y, x, 255);

cvShowImage(sourceWindow1, sourceImage1);
	cvShowImage(sourceWindow2, sourceImage2);
	cvShowImage(addWindow, addImage);
	cvShowImage(subWindow, subImage);
	cvShowImage(mulWindow, mulImage);
	cvShowImage(divWindow, divImage);
	cvShowImage(graySource1Window, graySourceImage1);
	cvShowImage(graySource2Window, graySourceImage2);
	cvShowImage(differenceWindow, differenceImage);
	
	cvWaitKey(0);
	
	return 0;
}

크리에이티브 커먼즈 라이선스

이 저작물은 크리에이티브 커먼즈 코리아 저작자표시-비영리-변경금지 2.0 대한민국 라이선스에 따라 이용하실 수 있습니다.

Posted by RyuiSaka

TAG image processing, Open Computer Vision, Open Computer Vision Library, OpenCV, RyuiSaka, 류사마, 류이사카, 오픈씨브이, 이미지 프로세싱, 테스트, 테스트 코드

트랙백 0개, 댓글 0개가 달렸습니다

[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

#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;
}