opencv查询最大轮廓
2016-03-02 17:33
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#include "cv.h"
#include "cxcore.h"
#include "highgui.h"
int main( int argc, char** argv )
{
IplImage* src;
src=cvLoadImage("E:\\222.png",CV_LOAD_IMAGE_GRAYSCALE);
IplImage* dst = cvCreateImage( cvGetSize(src), 8, 3 );
CvMemStorage* storage = cvCreateMemStorage(0);
CvSeq* contour = 0;
cvThreshold( src, src,120, 255, CV_THRESH_BINARY );//二值化
cvNamedWindow( "Source", 1 );
cvShowImage( "Source", src );
IplImage*pContourImg= cvCreateImage( cvGetSize(src), 8, 1 );
cvCopy(src,pContourImg);
// 提取轮廓
int contour_num = cvFindContours(pContourImg, storage, &contour, sizeof(CvContour), CV_RETR_CCOMP, CV_CHAIN_APPROX_SIMPLE);
cvZero(dst); // 清空数组
CvSeq *_contour = contour;
double maxarea = 0;
double minarea = 6000;
int m = 0;
for( ; contour != 0; contour = contour->h_next )
{
double tmparea = fabs(cvContourArea(contour));
if(tmparea < minarea)
{
cvSeqRemove(contour, 0); // 删除面积小于设定值的轮廓
continue;
}
CvRect aRect = cvBoundingRect( contour, 0 );
//if ((aRect.width/aRect.height)<1)
//{
// cvSeqRemove(contour, 0); //删除宽高比例小于设定值的轮廓
// continue;
//}
if(tmparea > maxarea)
{
maxarea = tmparea;
}
m++;
// 创建一个色彩值
CvScalar color = CV_RGB( 0, 0, 255 );
//max_level 绘制轮廓的最大等级。如果等级为0,绘制单独的轮廓。如果为1,绘制轮廓及在其后的相同的级别下轮廓
//如果值为2,所有的轮廓。如果等级为2,绘制所有同级轮廓及所有低一级轮廓,诸此种种
//如果值为负数,函数不绘制同级轮廓,但会升序绘制直到级别为abs(max_level)-1的子轮廓
cvDrawContours(dst, contour, color, color, -1, 1, 8); //绘制外部和内部的轮廓
}
contour = _contour;
int count = 0; double tmparea=0;
for(; contour != 0; contour = contour->h_next)
{
count++;
tmparea = fabs(cvContourArea(contour));
if (tmparea == maxarea)
{
CvScalar color = CV_RGB( 255, 0, 0);
cvDrawContours(dst, contour, color, color, -1, 1, 8);
}
}
printf("%f\r\n", tmparea );
// CvRect aRect = cvBoundingRect( contmax, 0 );
// cvSetImageROI( pContourImg,aRect);
//显示图像
cvShowImage( "contour", dst );
cvSaveImage("contour.bmp",pContourImg);
cvWaitKey(0);
//销毁窗口
cvDestroyWindow( "src" );
cvDestroyWindow( "contour" );
//释放图像
cvReleaseImage( &src );
cvReleaseImage( &pContourImg );
cvReleaseMemStorage(&storage);
return 0;
return 0;
}
#include "cxcore.h"
#include "highgui.h"
int main( int argc, char** argv )
{
IplImage* src;
src=cvLoadImage("E:\\222.png",CV_LOAD_IMAGE_GRAYSCALE);
IplImage* dst = cvCreateImage( cvGetSize(src), 8, 3 );
CvMemStorage* storage = cvCreateMemStorage(0);
CvSeq* contour = 0;
cvThreshold( src, src,120, 255, CV_THRESH_BINARY );//二值化
cvNamedWindow( "Source", 1 );
cvShowImage( "Source", src );
IplImage*pContourImg= cvCreateImage( cvGetSize(src), 8, 1 );
cvCopy(src,pContourImg);
// 提取轮廓
int contour_num = cvFindContours(pContourImg, storage, &contour, sizeof(CvContour), CV_RETR_CCOMP, CV_CHAIN_APPROX_SIMPLE);
cvZero(dst); // 清空数组
CvSeq *_contour = contour;
double maxarea = 0;
double minarea = 6000;
int m = 0;
for( ; contour != 0; contour = contour->h_next )
{
double tmparea = fabs(cvContourArea(contour));
if(tmparea < minarea)
{
cvSeqRemove(contour, 0); // 删除面积小于设定值的轮廓
continue;
}
CvRect aRect = cvBoundingRect( contour, 0 );
//if ((aRect.width/aRect.height)<1)
//{
// cvSeqRemove(contour, 0); //删除宽高比例小于设定值的轮廓
// continue;
//}
if(tmparea > maxarea)
{
maxarea = tmparea;
}
m++;
// 创建一个色彩值
CvScalar color = CV_RGB( 0, 0, 255 );
//max_level 绘制轮廓的最大等级。如果等级为0,绘制单独的轮廓。如果为1,绘制轮廓及在其后的相同的级别下轮廓
//如果值为2,所有的轮廓。如果等级为2,绘制所有同级轮廓及所有低一级轮廓,诸此种种
//如果值为负数,函数不绘制同级轮廓,但会升序绘制直到级别为abs(max_level)-1的子轮廓
cvDrawContours(dst, contour, color, color, -1, 1, 8); //绘制外部和内部的轮廓
}
contour = _contour;
int count = 0; double tmparea=0;
for(; contour != 0; contour = contour->h_next)
{
count++;
tmparea = fabs(cvContourArea(contour));
if (tmparea == maxarea)
{
CvScalar color = CV_RGB( 255, 0, 0);
cvDrawContours(dst, contour, color, color, -1, 1, 8);
}
}
printf("%f\r\n", tmparea );
// CvRect aRect = cvBoundingRect( contmax, 0 );
// cvSetImageROI( pContourImg,aRect);
//显示图像
cvShowImage( "contour", dst );
cvSaveImage("contour.bmp",pContourImg);
cvWaitKey(0);
//销毁窗口
cvDestroyWindow( "src" );
cvDestroyWindow( "contour" );
//释放图像
cvReleaseImage( &src );
cvReleaseImage( &pContourImg );
cvReleaseMemStorage(&storage);
return 0;
return 0;
}
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