// TrainingTools.cpp : 定义控制台应用程序的入口点。
//
#include "stdafx.h"
#include <iostream>
#include <string.h>
#include <cxcore.h>
#include <cv.h>
#include <highgui.h>
#include <fstream>
IplImage *image = 0 ; //原始图像
IplImage *image2 = 0 ; //原始图像copy
using namespace std;
int Thresholdness = 141;
int ialpha = 20;
int ibeta=20;
int igamma=20;
void onChange(int pos)
{
if(image2) cvReleaseImage(&image2);
if(image) cvReleaseImage(&image);
image2 = cvLoadImage("f:\\vc\\cv\\circle.jpg",1); //显示图片
image= cvLoadImage("f:\\vc\\cv\\circle.jpg",0);
cvThreshold(image,image,Thresholdness,255,CV_THRESH_BINARY); //分割域值
CvMemStorage* storage = cvCreateMemStorage(0);
CvSeq* contours = 0;
cvFindContours( image, storage, &contours, sizeof(CvContour), //寻找初始化轮廓
CV_RETR_EXTERNAL , CV_CHAIN_APPROX_SIMPLE );
if(!contours) return ;
int length = contours->total;
if(length<10) return ;
CvPoint* point = new CvPoint[length]; //分配轮廓点
CvSeqReader reader;
CvPoint pt= cvPoint(0,0);;
CvSeq *contour2=contours;
cvStartReadSeq(contour2, &reader);
for (int i = 0; i < length; i++)
{
CV_READ_SEQ_ELEM(pt, reader);
point[i]=pt;
}
cvReleaseMemStorage(&storage);
//显示轮廓曲线
for(i=0;i<length;i++)
{
int j = (i+1)%length;
cvLine( image2, point[i],point[j],CV_RGB( 0, 0, 255 ),1,8,0 );
}
float alpha=ialpha/100.0f;
float beta=ibeta/100.0f;
float gamma=igamma/100.0f;
CvSize size;
size.width=3;
size.height=3;
CvTermCriteria criteria;
criteria.type=CV_TERMCRIT_ITER;
criteria.max_iter=1000;
criteria.epsilon=0.1;
cvSnakeImage( image, point,length,&alpha,&beta,&gamma,CV_VALUE,size,criteria,0 );
//显示曲线
for( i=0;i<length;i++)
{
int j = (i+1)%length;
cvLine( image2, point[i],point[j],CV_RGB( 0, 255, 0 ),1,8,0 );
}
delete []point;
}
int main(int argc, char* argv[])
{
cvNamedWindow("win1",0);
cvCreateTrackbar("Thd", "win1", &Thresholdness, 255, onChange);
cvCreateTrackbar("alpha", "win1", &ialpha, 100, onChange);
cvCreateTrackbar("beta", "win1", &ibeta, 100, onChange);
cvCreateTrackbar("gamma", "win1", &igamma, 100, onChange);
cvResizeWindow("win1",300,500);
onChange(0);
for(;;)
{
if(cvWaitKey(40)==27) break;
cvShowImage("win1",image2);
}
return 0;
}
cvSnakeImage
最新推荐文章于 2020-09-24 10:31:48 发布