도전!

Visual Studio 2010 - [Project] - [Property]

Included Directories

C:\opencv\build\include

C:\tbb40_20120408oss\include

Library Directories

C:\opencv\build\x86\vc10\lib

C:\tbb40_20120408oss\lib\ia32\vc10

System Environment Value

PATH

C:\opencv\build\x86\vc10\bin

C:\tbb40_20120408oss\bin\ia32\vc10

BlobLabeling.h 및 BlobLabeling.cpp 는 http://martinblog.net/826 에 있는 소스 사용

#include <opencv/highgui.h>

#include <opencv/cv.h>

#include <stdio.h>

#include "BlobLabeling.h"

extern void ThinningGonzalez(IplImage *inImg, IplImage *outImg);

int main(int argc, char *argv[])

{

IplImage *video_orig;

IplImage *video_gray;

IplImage *video_out;

IplImage *bmp_orig;

IplImage *bmp_gray;

IplImage *bmp_out;

CvCapture* capture;

IplConvKernel *kernel;

// 윈도우 생성

cvNamedWindow("video_orig",CV_WINDOW_AUTOSIZE);

cvNamedWindow("video_out",CV_WINDOW_AUTOSIZE);

cvNamedWindow("bmp_orig",CV_WINDOW_AUTOSIZE);

cvNamedWindow("bmp_out",CV_WINDOW_AUTOSIZE);

// 카메라 객체

printf("카메라 객체\n");

capture = cvCaptureFromCAM(1);

// 이미지 객체

printf("이미지 객체\n");

bmp_orig = cvLoadImage("C:\\hello_newyork.bmp"); 

bmp_gray = cvCreateImage(cvGetSize(bmp_orig), IPL_DEPTH_8U, 1);

bmp_out = cvCreateImage(cvGetSize(bmp_orig), IPL_DEPTH_8U, 3);

printf("영상 객체\n");

video_orig = cvQueryFrame(capture);

video_gray = cvCreateImage(cvGetSize(video_orig), IPL_DEPTH_8U, 1);

video_out = cvCreateImage(cvGetSize(video_orig), IPL_DEPTH_8U, 1);

// 필터 객체

kernel = cvCreateStructuringElementEx(9, 9, 4, 4, CV_SHAPE_RECT, NULL);

// 이미지 출력

printf("이미지 출력\n");

cvCvtColor(bmp_orig, bmp_gray, CV_RGB2GRAY);

cvCvtColor(bmp_gray, bmp_out, CV_GRAY2BGR);

//cvMorphologyEx(bmp_gray, bmp_gray, NULL, kernel, CV_MOP_TOPHAT, 3);

//cvMorphologyEx(bmp_out, bmp_out, NULL, kernel, CV_MOP_TOPHAT, 3);

cvThreshold( bmp_gray, bmp_gray, 200.0, 255.0,

CV_THRESH_BINARY|CV_THRESH_OTSU);

cvThreshold( bmp_gray, bmp_gray, 1, 255, CV_THRESH_BINARY_INV);

CBlobLabeling blob;

blob.SetParam( bmp_gray, 200 );

blob.DoLabeling();

for(int i=0; i<blob.m_nBlobs; i++){

CvPoint pt1 = cvPoint( blob.m_recBlobs[i].x,

  blob.m_recBlobs[i].y );

CvPoint pt2 = cvPoint( pt1.x + blob.m_recBlobs[i].width,

  pt1.y + blob.m_recBlobs[i].height );

CvScalar color = cvScalar( 0, 0, 255 );

printf("(%3d,%3d) - (%3d,%3d)\n", pt1.x, pt1.y, pt2.x, pt2.y);

cvDrawRect( bmp_out, pt1, pt2, color );

}

cvShowImage("bmp_orig", bmp_gray);

cvShowImage("bmp_out", bmp_out);

int i=0;

while(1){

if( cvWaitKey(10) == 27 ) break;

cvCvtColor(video_orig, video_out, CV_RGB2GRAY);

cvShowImage("video_orig", video_orig);

cvMorphologyEx(video_out, video_out, NULL, kernel, CV_MOP_TOPHAT, 1);

cvShowImage("video_out", video_out);

video_orig = cvQueryFrame(capture);

}

// 이미지 해제

cvReleaseImage(&video_out); printf("video_out 해제 완료\n");

cvReleaseImage(&bmp_orig); printf("bmp_orig 해제 완료\n");

// 캡쳐 해제

cvReleaseCapture(&capture); printf("capture 해제 완료\n");

// 윈도우 파괴

cvDestroyAllWindows(); printf("종료\n");

return 0;

}