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Isn't anyone can help me?

Please help me,

I have a problem for Convex Hull on Android. I use Java and OpenCV 2.3.

Before I made it on Java, I made it on C++ with Visual Studio 2008.

This code can running successfully on C++.

Now, i want to convert it from C++ to Java on Android. And I found error like "force close" when i run it on SDK Android simulator.

This is my code on C++:

vector<vector<Point> > contours;
vector<Vec4i> hierarchy;

Canny( img_gray, canny_output, thresh, thresh*2, 3 );
cv::dilate(canny_output, canny_output, cv::Mat(), cv::Point(-1,-1));
showCannyWindow();

findContours( canny_output, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, Point(0, 0) );
drawing = Mat::zeros( canny_output.size(), CV_64F );

/// Find the convex hull object for each contour
vector<vector<Point> > hull ( contours.size() );
for( int i = 0; i < contours.size(); i++ )
  {  convexHull( Mat(contours[i]), hull[i], false );
}

for(size_t i = 0; i < contours.size(); i++){
    drawContours( drawing, hull, i, Scalar(255, 255, 255), CV_FILLED ); // FILL WHITE COLOR
}

And this is my code on Android:

Mat hierarchy = new Mat(img_canny.rows(),img_canny.cols(),CvType.CV_8UC1,new Scalar(0));
    List<Mat> contours =new ArrayList<Mat>();
    List<Mat> hull = new ArrayList<Mat>(contours.size());
    drawing = Mat.zeros(img_canny.size(), im_gray);

    Imgproc.findContours(img_dilasi, contours, hierarchy,Imgproc.RETR_TREE, Imgproc.CHAIN_APPROX_SIMPLE, new Point(0, 0));

    for(int i=0; i<contours.size(); i++){
        Imgproc.convexHull(contours.get(i), hull.get(i), false);

    }
    for(int i=0; i<contours.size(); i++){
        Imgproc.drawContours(drawing, hull, i, new Scalar(255.0, 255.0, 255.0), 5);
    }

For your info, I did a little modification on Convex Hull at my code. I fill a color inside contour.

This is sample image result on C++:

Binary Image (Before Convex Hull and Fill Color):

After Convex Hull and Fill Color:

Anyone can help me to solve my problem?

I'm very grateful for your help.

can't you help me with implementation on my source code above?

Anyone can help me?

Everyone, please help me. I have a problem. I make a Convex Hull detection from this image:

This is a result of Convex Hull detection:

Then, I want to fill a color on area within the boundary of ConvexHull, as shown in the image below:

Is there someone who can help me to make image like above?

I use OpenCV 2.3.

This is a source code:

 #include "stdafx.h" 
 #include "opencv2/highgui/highgui.hpp"
 #include "opencv2/imgproc/imgproc.hpp"
 #include <iostream>
 #include <stdio.h>
 #include <stdlib.h>

 using namespace cv;
 using namespace std;

 Mat src; Mat src_gray;
 int thresh = 240;
 int max_thresh = 255;
 RNG rng(12345);

 /// Function header
 void thresh_callback(int, void* );

/** @function main */
int main( int argc, char** argv )
 {
   /// Load source image and convert it to gray
   src = imread( "kubis1.jpg", 1 );

   /// Convert image to gray and blur it
   cvtColor( src, src_gray, CV_BGR2GRAY );
   blur( src_gray, src_gray, Size(3,3) );

   /// Create Window
   char* source_window = "Source";
   namedWindow( source_window, CV_WINDOW_AUTOSIZE );
   imshow( source_window, src );

   createTrackbar( " Threshold:", "Source", &thresh, max_thresh, thresh_callback );
   thresh_callback( 0, 0 );

   waitKey(0);
   return(0);
 }

 /** @function thresh_callback */
 void thresh_callback(int, void* )
 {
   Mat src_copy = src.clone();
   Mat threshold_output;
   vector<vector<Point> > contours;
   vector<Vec4i> hierarchy;

   /// Detect edges using Threshold
   threshold( src_gray, threshold_output, thresh, 255, THRESH_BINARY );

   /// Find contours
   findContours( threshold_output, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, Point(0, 0) );

   /// Find the convex hull object for each contour
   vector<vector<Point> >hull( contours.size() );
   for( int i = 0; i < contours.size(); i++ )
      {  convexHull( Mat(contours[i]), hull[i], false );
   }

   /// Draw contours + hull results
   Mat drawing = Mat::zeros( threshold_output.size(), CV_8UC3 );
   for( int i = 0; i< contours.size(); i++ )
      {
        Scalar color = Scalar( rng.uniform(0, 255), rng.uniform(0,255), rng.uniform(0,255) );
        drawContours( drawing, contours, i, color, 1, 8, vector<Vec4i>(), 0, Point() );
        drawContours( drawing, hull, i, color, 1, 8, vector<Vec4i>(), 0, Point() );
      }

   /// Show in a window
   namedWindow( "Hull demo", CV_WINDOW_AUTOSIZE );
   imshow( "Hull demo", drawing );
 }

OpenCV-2.1.0-win32-vs2008

Oh, i'm sorry, i know it now.

Then, I apply the code from you in my code, but this error appears.

error C2664: 'cvFindContours': cannot convert parameter 2 from 'IplImage' to 'CvMemStorage'

error C2228 : left of '.setTo' must have class/struct/union

error C3861 : 'Scalar': identifier not found

error C3861 : 'polylines': identifier not found

error C3861 : 'Scalar': identifier not found

Sorry, i'm newbie, sometimes I don't quite understand about OpenCV. Still need to learn a lot. Hehe.

Please, i don't know what i should do in this part :

// Find binary image of leaf with holes in some way. .....

can't you help me with example in code for that part?

Please help me. First, this is original/source picture. (Picture 1)

with canny and morphology, I processing picture from that original picture like this (Picture 2) :

And now, I want to process the image so that it looks like this (Picture 3) :

But I don't know how to make them into images like that (Picture 3). Plese help me. Can you give me the source code to make it like Picture 3 ?

This is my source code (Convert Picture 1 to Picture 2) :

//Area_Daun.cpp : main project file.

#include "stdafx.h"
#include "cxcore.h"
#include "highgui.h"
#include "cv.h"
#include "stdio.h"

using namespace System;

int main()
{
    IplImage* img = NULL;
    IplImage* OpenImg = NULL;

    // load original image
    img = cvLoadImage("kubis2.jpg");

    IplImage* newImg = cvCreateImage (cvGetSize(img), IPL_DEPTH_8U,1);
    IplImage* newImg1 = cvCreateImage (cvGetSize(img), IPL_DEPTH_8U,1);
    IplImage* newImg2 = cvCreateImage (cvGetSize(img), IPL_DEPTH_8U,1);
    CvMat *mat= cvCreateMat(newImg->height, newImg->width, CV_64FC1);
    CvMat *mat1= cvCreateMat(newImg->height, newImg->width, CV_64FC1);
    CvMat *mat2= cvCreateMat(newImg->height, newImg->width, CV_64FC1);

    cvCvtColor(img,newImg,CV_RGB2GRAY);
    cvThreshold(newImg, newImg, 200,255,CV_THRESH_BINARY_INV);
    cvConvert(newImg, mat);

    cvCanny(newImg,newImg1,1,1,3);
    cvConvert(newImg1, mat1);

    cvMorphologyEx( newImg, newImg2, 0, 0, CV_MOP_OPEN, 3);
    cvConvert(newImg2, mat2);

    float putih1 = 0;

    for(int x=0; x<newImg->height; x++){
        for(int y=0; y<newImg->width; y++)
        {
            if (cvmGet (mat,x,y)==255){
                putih1++;
            }
        }
    }

    printf("Luas Daerah Citra / Area Yang Rusak: %.0f\n",putih1);

    cvShowImage( "original", img );
    cvShowImage( "src", newImg );
    cvShowImage( "canny", newImg1 );
    //cvShowImage( "opening", newImg2 );

    cvWaitKey(0);
    return 0;
}