'Open Computer Vision Library' 태그의 글 목록

/*
 *  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;
}

저작자표시 비영리 변경금지

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;	}}