오늘의 사건사고 :: [OpenCV] Threshold와 Morphology 적용하기

'threshold'에 해당되는 글 1건

2008/11/14 [OpenCV] Threshold와 Morphology 적용하기 (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;
}