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'이미지 프로세싱'에 해당되는 글 3건

2008/11/14 [OpenCV] Threshold와 Morphology 적용하기 (4)
2008/11/11 [OpenCV] 이미지 산술연산 테스트
2008/11/06 [OpenCV] 간단한 예제, Image Crop (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] 간단한 예제, Image Crop

Image Processing 2008/11/06 03:29

우여곡절 끝에 겨우겨우 첫번째 Assignment를 끝냈다.

사실 선배들은 별로 필요 없는 프로그램이라고 했지만, 그래도 시작한건 끝내야하지 않을까 하는 생각에 한번 만들어봤다.

프로그램 자체는 별다른 기능이 없다.

하나의 이미지(이 프로그램상에서는 'test.jpg'라는 파일)를 읽어들여서 윈도우에 띄워 준 후, 해당 윈도우의 두 점을 클릭하면 새로운 윈도우가 뜨면서 클릭한 두 점 사이의 영역에 대한 R, G, B 평균값을 출력해 주는 것.

사실 이게 제대로 만든 프로그램인지 아직까지 잘 모르겠지만...공부하다보면 이 소스를 떠올리며 '그 땐 그랬지'라고 말 할 수 있겠지...

어쨌거나 더 열심히!

- 테스트 이미지

- 소스코드

/* *  main.cpp *  OpenCVApp * *  Created by Seongwoo Lee on 11/03/08. *  Copyright 2008 RyuiSaka. All rights reserved. * */// This header includes all the opencv headers (cv, cxcore, highgui, ml) #include <math.h>#include <stdlib.h>#include <string.h>#include <OpenCV/OpenCV.h>void cropWindow(int event, int x, int y, int flags, void* sourceImage);bool flag = FALSE;CvPoint savedPoint;int main(int argc, char **argv){		IplImage* sourceImage = cvLoadImage("./test.jpg", CV_LOAD_IMAGE_COLOR);	char* window1 = "Test Window";	cvNamedWindow(window1, CV_WINDOW_AUTOSIZE);	cvShowImage(window1, sourceImage); 	cvSetMouseCallback(window1, cropWindow, sourceImage);	cvWaitKey(0);		cvReleaseImage(&sourceImage);	cvDestroyAllWindows();		return 0 ;}void cropWindow(int event, int x, int y, int flags, void* sourceImage){	CvFont font;	double hScale = 1;	double vScale = 1;	int lineWidth = 1;	cvInitFont(&font, CV_FONT_HERSHEY_SIMPLEX, hScale, vScale, 0, lineWidth);		if(event == CV_EVENT_LBUTTONDOWN && flag == FALSE)	{		savedPoint.x = x;		savedPoint.y = y;		flag = TRUE;	}	else if(event == CV_EVENT_LBUTTONDOWN && flag == TRUE)	{		int i, j;		double r, g, b, avg;		char* cropWindow = "Crop Window";				if(savedPoint.x > x)		{			int temp = savedPoint.x;			savedPoint.x = x;			x = temp;		}		if(savedPoint.y > y)		{			int temp = savedPoint.y;			savedPoint.y = y;			y = temp;		}				int diffX = abs(x-savedPoint.x);		int diffY = abs(y-savedPoint.y);		cvNamedWindow(cropWindow, CV_WINDOW_AUTOSIZE);		IplImage* croppedImage = cvCreateImage(cvSize(diffX, diffY), IPL_DEPTH_8U, 1);		IplImage* src_red = cvCreateImage(cvGetSize(sourceImage), IPL_DEPTH_8U, 1);		IplImage* src_green = cvCreateImage(cvGetSize(sourceImage), IPL_DEPTH_8U, 1);		IplImage* src_blue = cvCreateImage(cvGetSize(sourceImage), IPL_DEPTH_8U, 1);		cvSplit(sourceImage, src_blue, src_green, src_red, NULL);				for(i = 0; i < diffY; i++)		{			for(j = 0; j < diffX; j++)			{				r = cvGetReal2D(src_red, savedPoint.y+i, savedPoint.x+j);				g = cvGetReal2D(src_green, savedPoint.y+i, savedPoint.x+j);				b = cvGetReal2D(src_blue, savedPoint.y+i, savedPoint.x+j);				avg = (r+g+b)/3;				cvSetReal2D(croppedImage, i, j, avg);			}		}		cvShowImage(cropWindow, croppedImage);		cvReleaseImage(&croppedImage);				flag = FALSE;	}}