OpenCV计算连通区域数目与最大连通区域并标示出
2014-11-04 17:18
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#include <stdio.h>
#include <cv.h>
#include <highgui.h>
#pragma comment(lib, "cv.lib")
#pragma comment(lib, "cxcore.lib")
#pragma comment(lib, "highgui.lib")
int main(
int argc, char** argv )
{
IplImage* src = cvLoadImage(".\\wind.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);
// 提取轮廓
int contour_num = cvFindContours(src, 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 = 100;
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, 255, 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;
for(; contour != 0; contour = contour->h_next)
{
count++;
double tmparea = fabs(cvContourArea(contour));
if (tmparea == maxarea)
{
CvScalar color = CV_RGB( 255, 0, 0);
cvDrawContours(dst, contour, color, color, -1, 1, 8);
}
}
printf("The total number of contours is:%d", count);
cvNamedWindow("Components", 1);
cvShowImage("Components", dst);
cvWaitKey(0);
cvDestroyWindow("Source");
cvReleaseImage(&src);
cvDestroyWindow("Components");
cvReleaseImage(&dst);
return 0;
}
#include <cv.h>
#include <highgui.h>
#pragma comment(lib, "cv.lib")
#pragma comment(lib, "cxcore.lib")
#pragma comment(lib, "highgui.lib")
int main(
int argc, char** argv )
{
IplImage* src = cvLoadImage(".\\wind.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);
// 提取轮廓
int contour_num = cvFindContours(src, 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 = 100;
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, 255, 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;
for(; contour != 0; contour = contour->h_next)
{
count++;
double tmparea = fabs(cvContourArea(contour));
if (tmparea == maxarea)
{
CvScalar color = CV_RGB( 255, 0, 0);
cvDrawContours(dst, contour, color, color, -1, 1, 8);
}
}
printf("The total number of contours is:%d", count);
cvNamedWindow("Components", 1);
cvShowImage("Components", dst);
cvWaitKey(0);
cvDestroyWindow("Source");
cvReleaseImage(&src);
cvDestroyWindow("Components");
cvReleaseImage(&dst);
return 0;
}
#include <stdio.h> #include <cv.h> #include <highgui.h> #pragma comment(lib, "cv.lib") #pragma comment(lib, "cxcore.lib") #pragma comment(lib, "highgui.lib") int main( int argc, char** argv ) { IplImage* src = cvLoadImage(".\\wind.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); // 提取轮廓 int contour_num = cvFindContours(src, 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 = 100; 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, 255, 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; for(; contour != 0; contour = contour->h_next) { count++; double tmparea = fabs(cvContourArea(contour)); if (tmparea == maxarea) { CvScalar color = CV_RGB( 255, 0, 0); cvDrawContours(dst, contour, color, color, -1, 1, 8); } } printf("The total number of contours is:%d", count); cvNamedWindow("Components", 1); cvShowImage("Components", dst); cvWaitKey(0); cvDestroyWindow("Source"); cvReleaseImage(&src); cvDestroyWindow("Components"); cvReleaseImage(&dst); return 0; }
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