'assignment' 태그의 글 목록

assignment

[컴퓨터비전_과제2] 컬러공간과 이미지연산, 그리고 Threshold 2009.04.20 4
[컴퓨터비전_과제1] 픽셀별 접근과 이미지 크롭 2009.04.18
[OpenCV] 각 Color Space(색 공간) 별 채널 분리하기 2008.11.09 4

[컴퓨터비전_과제2] 컬러공간과 이미지연산, 그리고 Threshold

2009. 4. 20. 01:33

- Description

1. 얼굴이 포함된 컬러 이미지 파일을 열어서 첫 번째 윈도우 창에 보인다.
2. 컬러 이미지에서 얼굴 부분은 컬러로, 나머지 부분은 그레이로 하여 두 번째 창에 보인다.

- Screen Shot

원본 소스 이미지

컬러공간 변환(RGB to HSV)과 이미지연산, Threshold를 적용해서 얼굴부분 색만 추출한 이미지

- Source Code

/*
 *  Assignment2.cpp
 *  OpenCV_Application
 *
 *  Created by Lee Seongwoo(2003721181) on 09. 03. 28.
 *  Dept. of Computer Science and Engineering
 *  Kwangwoon University(Seoul, Korea)
 *
 */

#include <stdio.h>
#include <cv.h>
#include <cxcore.h>
#include <highgui.h>

#pragma comment(lib, "cv.lib")   
#pragma comment(lib, "highgui.lib")   
#pragma comment(lib, "cxcore.lib")

int main(void)
{
	IplImage* sourceImage = cvLoadImage("./sourceImage.png", CV_LOAD_IMAGE_COLOR);
	IplImage* sourceImageHSV = cvCreateImage(cvGetSize(sourceImage), IPL_DEPTH_8U, 3);
	IplImage* sourceImageHue = cvCreateImage(cvGetSize(sourceImage), IPL_DEPTH_8U, 1);
	IplImage* sourceImageSaturation = cvCreateImage(cvGetSize(sourceImage), IPL_DEPTH_8U, 1);
	IplImage* sourceImageValue = cvCreateImage(cvGetSize(sourceImage), IPL_DEPTH_8U, 1);
	IplImage* sourceImageGray = cvCreateImage(cvGetSize(sourceImage), IPL_DEPTH_8U, 1);
	IplImage* maskImageHue = cvCreateImage(cvGetSize(sourceImage), IPL_DEPTH_8U, 1);
	IplImage* maskImageSaturation = cvCreateImage(cvGetSize(sourceImage), IPL_DEPTH_8U, 1);
	IplImage* maskImageValue = cvCreateImage(cvGetSize(sourceImage), IPL_DEPTH_8U, 1);
	IplImage* maskImage = cvCreateImage(cvGetSize(sourceImage), IPL_DEPTH_8U, 1);
	IplImage* destinationImage = cvCreateImage(cvGetSize(sourceImage), IPL_DEPTH_8U, 3);
	IplImage* tempImage = cvCreateImage(cvGetSize(sourceImage), IPL_DEPTH_8U, 1);

char* sourceImageWindow = "Source Image Window";
	char* destinationImageWindow = "Converted Image Window";

cvCvtColor(sourceImage, sourceImageHSV, CV_BGR2HSV);
	cvCvtColor(sourceImage, sourceImageGray, CV_BGR2GRAY);

cvNamedWindow(sourceImageWindow);
	cvNamedWindow(destinationImageWindow);

cvCvtPixToPlane(sourceImageHSV, sourceImageHue, sourceImageSaturation, sourceImageValue, NULL);

cvInRangeS(sourceImageHue, cvScalar(0), cvScalar(18), maskImageHue);
	cvInRangeS(sourceImageSaturation, cvScalar(85), cvScalar(255), maskImageSaturation);
	cvInRangeS(sourceImageValue, cvScalar(60), cvScalar(256), maskImageValue);

cvAnd(maskImageHue, maskImageSaturation, tempImage, NULL);
	cvAnd(tempImage, maskImageValue, maskImage, NULL);
	
	cvCvtColor(sourceImageGray, destinationImage, CV_GRAY2BGR);

cvCopy(sourceImage, destinationImage, maskImage);

cvShowImage(sourceImageWindow, sourceImage);
	cvShowImage(destinationImageWindow, destinationImage);

cvWaitKey(0);

cvReleaseImage(&sourceImage);
	cvReleaseImage(&sourceImageHSV);
	cvReleaseImage(&sourceImageHue);
	cvReleaseImage(&sourceImageSaturation);
	cvReleaseImage(&sourceImageValue);
	cvReleaseImage(&sourceImageGray);
	cvReleaseImage(&maskImageHue);
	cvReleaseImage(&maskImageSaturation);
	cvReleaseImage(&maskImageValue);
	cvReleaseImage(&maskImage);
	cvReleaseImage(&destinationImage);
	cvReleaseImage(&tempImage);

cvDestroyAllWindows();

return 0;
}

- Visual Studio 6.0 Project File

2003721181_Assignment_02.zip

저작자표시 비영리 변경금지

[컴퓨터비전_과제1] 픽셀별 접근과 이미지 크롭

2009. 4. 18. 13:51

- Description

1. 이미지 파일을 열어서 첫 번째 윈도우 창에 보인다.
2. 첫 번째 윈도우에서 마우스 클릭을 두 번하면 두 개의 마우스 커서 좌표를 각각 사각형의 왼쪽 위 좌표, 오른쪽 아래 좌표로 하여 사각형 영역을 설정하고, 이 영역의 이미지만 r, g, b 평균을 하여 두 번째 윈도우 창에 보인다.
3. 이 때, 두 번째 창에는 선택된 영역의 크기만큼만 보여야 한다.

- Screen Shot

- Source Code

/*
 *  main.cpp
 *  OpenCV_Application
 *
 *  Created by Lee Seongwoo(2003721181) on 09. 03. 11.
 *  Copyright 2009 Kwangwoon University. All rights reserved.
 *
 */

#include <math.h>
#include <stdio.h>  
#include <stdlib.h>  
#include <string.h>
#include <cv.h>
#include <cxcore.h>
#include <highgui.h>

#pragma comment (lib, "cv.lib")
#pragma comment (lib, "cxcore.lib")
#pragma comment (lib, "highgui.lib")

void cropImage(int event, int x, int y, int flags, void* srcImage);

bool flag = FALSE;
CvPoint startPoint;

int main(int argc, char **argv)  
{     
    IplImage* sourceImage = cvLoadImage("./test.jpg", CV_LOAD_IMAGE_COLOR);  
    char* sourceImageWindow = "Source Image Window";
	
    cvNamedWindow(sourceImageWindow, CV_WINDOW_AUTOSIZE);
    cvShowImage(sourceImageWindow, sourceImage);   
    cvSetMouseCallback(sourceImageWindow, cropImage, sourceImage);
    cvWaitKey(0);  
	
    cvReleaseImage(&sourceImage);  
    cvDestroyAllWindows();
	
    return 0 ;  
}

void cropImage(int event, int x, int y, int flags, void* srcImage)  
{
	IplImage* sourceImage = (IplImage*)srcImage;
	char* croppedImageWindow = "Cropped Image Window";
	int temp, diffX, diffY;
	
    if(event == CV_EVENT_LBUTTONDOWN)  
    {
		if(flag == FALSE)
		{
			startPoint.x = x;  
			startPoint.y = y;  
			flag = TRUE;
		}
		else
		{	
			if(startPoint.x > x)
			{  
				temp = startPoint.x;  
				startPoint.x = x;  
				x = temp;  
			}  
			if(startPoint.y > y)  
			{  
				temp = startPoint.y;  
				startPoint.y = y;  
				y = temp;  
			}
			diffX = abs(x-startPoint.x);
			diffY = abs(y-startPoint.y);

IplImage* croppedImage;
			croppedImage = cvCreateImage(cvSize(diffX, diffY), IPL_DEPTH_8U, 1);
			register unsigned char* sourceImagePointer;
			register unsigned char* destinationImagePointer;
			register int i, j;
			int sum, average;			
			
			for(j = 0; j < croppedImage->height; j++)
			{
				sourceImagePointer = (unsigned char*)sourceImage->imageData+sourceImage->widthStep*(j+startPoint.y);
				destinationImagePointer = (unsigned char*)croppedImage->imageData+croppedImage->widthStep*j;
				
				sourceImagePointer = sourceImagePointer + (startPoint.x*3);
				i = croppedImage->width;
				for( ; i-- > 0; )
				{
					sum = 0;
					sum = *(sourceImagePointer++);
					sum += *(sourceImagePointer++);
					sum += *(sourceImagePointer++);
					average = sum / 3;
					*(destinationImagePointer++) = average;
				}  
			}
			cvNamedWindow(croppedImageWindow);
			cvShowImage(croppedImageWindow, croppedImage);
			cvReleaseImage(&croppedImage);

flag = FALSE;  
		}
    }  
}

- Visual Studio 6.0 Project File

2003721181_LeeSeongwoo_Assignment_01.zip

- 비교 : http://ryuisaka.com/334 (cvGetReal2D와 cvSetReal2D 함수를 사용한 버전)

저작자표시 비영리 변경금지

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

2008. 11. 9. 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;
}

저작자표시 비영리 변경금지

PREV 1 NEXT

오늘의 사건사고

assignment

[컴퓨터비전_과제2] 컬러공간과 이미지연산, 그리고 Threshold

[컴퓨터비전_과제1] 픽셀별 접근과 이미지 크롭

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

+ Recent posts

티스토리툴바