I need to extract contour of shapes in images, and get the fitted ellipse. However, when I use the following code, the result is not very satisfying.

#include "stdafx.h"

include <iostream>

include <opencv2\core\core.hpp>

include <opencv2\highgui\highgui.hpp>

include <opencv2\imgproc\imgproc.hpp>

include <fstream>

using namespace std;
using namespace cv;

extern void Threshold(Mat gray, Mat& binary); extern void Not(Mat& im);

// Calculate the contour of connected region // erease the image that is too large or too small void getSizeContours(vector<vector<point>> &contours)
{
int cmin = 10; // min contour length
int cmax = 10000; // max contour length
vector<vector<point>>::const_iterator itc = contours.begin();
while(itc != contours.end())
{
if((itc->size()) < cmin || (itc->size()) > cmax)
{
itc = contours.erase(itc);
}
else ++ itc;
}
}

// Calculate min convex oval void MinConvexOval(Mat gray, vector<vector<Point>> vector<vector<point>> &contours, vector<Mat> vector<mat> oval_result) { Mat oval(gray.rows*3,gray.cols*3,CV_8UC3); vector<vector<Point>>::const_iterator oval(gray.rows3,gray.cols3,CV_8UC3); vector<vector<point>>::const_iterator itc=contours.begin(); while(itc != contours.end()) { double perimeter=arcLength(*itc,true); perimeter=arcLength(itc,true); double area= contourArea(*itc,false); contourArea(itc,false); Rect rect=boundingRect(*itc); rect=boundingRect(itc); CvBox2D box=minAreaRect(*itc); box=minAreaRect(itc);

    Point pt1, pt2;
     pt1.x=rect.x;
     pt1.y=rect.y;
     pt2.x=rect.x+rect.width;
     pt2.y=rect.y+rect.height;

     RotatedRect box2=fitEllipse(*itc);

     ellipse(oval, box2, Scalar(255,0,255), 1, 8);
     Point2f vertices[4];
     box2.points(vertices);
     for (int i = 0; i < 4; i++)
         line(oval, vertices[i], vertices[(i+1)%4], Scalar(0,255,0));
     ++itc;
 }
 drawContours(oval,contours,-1, Scalar(0,255,255), 1);

 imshow("oval",oval);
 waitKey(0);
}

}

void cvText(Mat img, const char* text, int x, int y) { CvFont font;

double hscale = 1.0;
double vscale = 1.0;
int linewidth = 2;
cvInitFont(&font,CV_FONT_HERSHEY_SIMPLEX |CV_FONT_ITALIC,hscale,vscale,0,linewidth);

Scalar textColor =Scalar(0,255,255);
Point textPos =Point(x, y);

putText(img, text, textPos, CV_FONT_HERSHEY_COMPLEX, 1,textColor);

}

void GetContour(Mat grayim)
{
Mat binaryim;
Threshold(grayim, binaryim); // binaryzation vector<vector<point>> contours;
//CV_CHAIN_APPROX_NONE Get all of the pixels of the contours findContours(binaryim, contours, CV_RETR_CCOMP, CV_CHAIN_APPROX_NONE, cvPoint(0,0));
getSizeContours(contours);

vector<Mat> oval_result;
MinConvexOval(grayim,contours,oval_result);

}
Testing image: Result image: The fitting result of the right-down shape is wrong, could anyone help me, please? Thanks a lot!

I need to extract contour of shapes in images, and get the fitted ellipse. However, when I use the following code, the result is not very satisfying.

#include "stdafx.h"

using namespace std;
using namespace cv;

extern void Threshold(Mat gray, Mat& binary); extern void Not(Mat& im);

// Calculate the contour of connected region // erease the image that is too large or too small void getSizeContours(vector<vector<point>> &contours)
{
int cmin = 10; // min contour length
int cmax = 10000; // max contour length
vector<vector<point>>::const_iterator itc = contours.begin();
while(itc != contours.end())
{
if((itc->size()) < cmin || (itc->size()) > cmax)
{
itc = contours.erase(itc);
}
else ++ itc;
}
}

// Calculate min convex oval void MinConvexOval(Mat gray, vector<vector<point>> &contours, vector<mat> oval_result) { Mat oval(gray.rows3,gray.cols3,CV_8UC3); vector<vector<point>>::const_iterator itc=contours.begin(); while(itc != contours.end()) { double perimeter=arcLength(itc,true); double area= contourArea(itc,false); Rect rect=boundingRect(itc); CvBox2D box=minAreaRect(itc);

    Point pt1, pt2;
    pt1.x=rect.x;
    pt1.y=rect.y;
    pt2.x=rect.x+rect.width;
    pt2.y=rect.y+rect.height;

    RotatedRect box2=fitEllipse(*itc);

    ellipse(oval, box2, Scalar(255,0,255), 1, 8);
    Point2f vertices[4];
    box2.points(vertices);
    for (int i = 0; i < 4; i++)
        line(oval, vertices[i], vertices[(i+1)%4], Scalar(0,255,0));
    ++itc;
}
drawContours(oval,contours,-1, Scalar(0,255,255), 1);

imshow("oval",oval);
waitKey(0);

}

void cvText(Mat img, const char* text, int x, int y) { CvFont font;

double hscale = 1.0;
double vscale = 1.0;
int linewidth = 2;
cvInitFont(&font,CV_FONT_HERSHEY_SIMPLEX |CV_FONT_ITALIC,hscale,vscale,0,linewidth);

Scalar textColor =Scalar(0,255,255);
Point textPos =Point(x, y);

putText(img, text, textPos, CV_FONT_HERSHEY_COMPLEX, 1,textColor);

}

void GetContour(Mat grayim)
{
Mat binaryim;
Threshold(grayim, binaryim); // binaryzation vector<vector<point>> binaryzation

vector<vector<Point>> contours; 
  //CV_CHAIN_APPROX_NONE  Get all of the pixels of the contours
  findContours(binaryim, contours, CV_RETR_CCOMP, CV_CHAIN_APPROX_NONE, cvPoint(0,0)); 
  getSizeContours(contours);  
 
 vector<Mat> oval_result;
MinConvexOval(grayim,contours,oval_result);
 
} 

Testing image:

Result image:

The fitting result of the right-down shape is wrong, could anyone help me, please? Thanks a lot!