在opencv中发现凸性缺陷？ [根据给定的输入图像崩溃..]

我有一个计算图像凸包的程序。我正在尝试使用此信息来计算fingers存在于输入图像中。从一些冲浪中我发现做到这一点的方法（数手指）是

1. 寻找轮廓
2. 凸包
3. 凸性缺陷

但我在使用凸性缺陷函数时遇到了麻烦。它编译得很好，但在运行时程序会因某些输入图像而崩溃，但不会因其他输入图像而崩溃，我似乎无法弄清楚为什么。

这些是输入图像

1. this http://i50.tinypic.com/28mps1k.jpg图像导致崩溃
2. but this http://i46.tinypic.com/x1dlvq.jpg才不是。
3. this http://i50.tinypic.com/15q6sdi.jpg即使它与上面类似，也会导致崩溃

code..

#include <opencv/cv.h>
#include <opencv/highgui.h>
#include <opencv/cxcore.h>
#include <stdio.h>

#define CVX_RED     CV_RGB(0xff,0x00,0x00)
#define CVX_GREEN   CV_RGB(0x00,0xff,0x00)
#define CVX_BLUE    CV_RGB(0x00,0x00,0xff)

int main(int argc, char* argv[]) {

  cvNamedWindow( "original", 1 );
  cvNamedWindow( "contours", 1 );
  cvNamedWindow( "hull", 1 );
  IplImage* original_img = NULL;

  original_img = cvLoadImage("img.jpg", CV_LOAD_IMAGE_GRAYSCALE );

  IplImage* img_edge = cvCreateImage( cvGetSize(original_img), 8, 1 );
  IplImage* contour_img = cvCreateImage( cvGetSize(original_img), 8, 3 );
  IplImage* hull_img = cvCreateImage( cvGetSize(original_img), 8, 3 );

  cvThreshold( original_img, img_edge, 128, 255, CV_THRESH_BINARY );

  CvMemStorage* storage = cvCreateMemStorage();
  CvSeq* first_contour = NULL;

  int Nc = cvFindContours(
     img_edge,
     storage,
     &first_contour,
     sizeof(CvContour),
     CV_RETR_LIST // Try all four values and see what happens
  );

  for( CvSeq* c=first_contour; c!=NULL; c=c->h_next ) {
     cvCvtColor( original_img, contour_img, CV_GRAY2BGR );
     cvDrawContours(
        contour_img,
        c,
        CVX_RED,  
        CVX_BLUE,
        0,     
        2,
        8
     );
  }

  //----------------------------------------------------------------------Convex Hull

  CvMemStorage* hull_storage = cvCreateMemStorage();
  CvSeq* retHulls = NULL;

  for(CvSeq* i = first_contour; i != NULL; i = i->h_next){
    retHulls = cvConvexHull2(i,hull_storage,CV_CLOCKWISE,0); 
    // with 1 it draws the Hull image but not with 0..?
    // however it needs to be 0 for convexitydefects to work?
  }

  printf(" %d elements:\n", retHulls->total );

  // drawing hull

  for( CvSeq* j=retHulls; j!=NULL; j=j->h_next ) {
    cvCvtColor( original_img, hull_img, CV_GRAY2BGR );
    cvDrawContours(
        hull_img,
        j,
        CVX_RED,  
        CVX_BLUE,
        0,        
        2,
        8
     );  

  }


  //----------------------------------------------------------------------Convexity Defects??

  CvMemStorage* convexStorage = cvCreateMemStorage();
  CvSeq* defect = NULL;
  defect = cvConvexityDefects(first_contour,retHulls, convexStorage);
  printf(" %d defect:\n", defect->total );


  cvShowImage( "contours", contour_img );
  cvShowImage( "original", original_img );
  cvShowImage( "hull", hull_img );
  cvWaitKey(0);
  cvDestroyWindow( "contours" );
  cvDestroyWindow( "original" );
  cvDestroyWindow( "hull" );
  cvReleaseImage( &original_img );
  cvReleaseImage( &contour_img );
  cvReleaseImage( &hull_img );
  cvReleaseImage( &img_edge );
  return 0;
}

cvConvexityDefects期望convexHull序列（第二个参数）包含索引contour序列（第一个参数）：

使用 ConvexHull2 获得的凸包应包含轮廓点的指针或索引，而不是包点本身

1. 在最简单的情况下，cvFindContours返回一个简单的轮廓（您的第二张图像），您很幸运，您的代码将提供正确的序列作为第一个参数。

2. In case cvFindContours找到轮廓中的孔（您的第三张图像），或者如果有几个简单的轮廓或带孔的轮廓（您的第一张图像），您的代码：

   1. 依次找到每个轮廓的凸包，但只记住最后一个（因为循环的每次迭代都会覆盖retHulls多变的）

   2. 传递轮廓的整个层次结构，它与中的索引不对应retHulls, to cvConvexityDefects作为第一个参数。

相反，您应该：

1. passed CV_RETR_EXTERNAL to the cvFindContour仅获得外部轮廓（您不关心孔的缺陷）

2. 移动了cvConvexityDefects在最后一个循环内。

就像是：

  /* ... */

  if (argc < 2) {
      std::cerr << "Usage: convexity IMAGE\n";
      exit(1);
  }

  cvNamedWindow( "original", 1 );
  cvNamedWindow( "contours", 1 );
  cvNamedWindow( "hull", 1 );
  IplImage* original_img = NULL;

  original_img = cvLoadImage(argv[1], CV_LOAD_IMAGE_GRAYSCALE );

  IplImage* img_edge = cvCreateImage( cvGetSize(original_img), 8, 1 );
  IplImage* contour_img = cvCreateImage( cvGetSize(original_img), 8, 3 );
  IplImage* hull_img = cvCreateImage( cvGetSize(original_img), 8, 3 );

  cvThreshold( original_img, img_edge, 128, 255, CV_THRESH_BINARY );

  CvMemStorage* storage = cvCreateMemStorage();
  CvSeq* first_contour = NULL;

  int Nc = cvFindContours(
     img_edge,
     storage,
     &first_contour,
     sizeof(CvContour),
     CV_RETR_EXTERNAL // Try all four values and see what happens
  );

  cvCvtColor( original_img, contour_img, CV_GRAY2BGR );
  for( CvSeq* c=first_contour; c!=NULL; c=c->h_next ) {
     cvDrawContours(
        contour_img,
        c,
        CVX_RED,
        CVX_BLUE,
        0,
        2,
        8
     );
  }
  cvShowImage( "contours", contour_img );

  //----------------------------------------------------------------------Convex Hull
  //-------------------------------------------------------------------Convex Defects

  CvMemStorage* hull_storage = cvCreateMemStorage();
  CvSeq* retHulls = NULL;

  cvCvtColor( original_img, hull_img, CV_GRAY2BGR );
  for(CvSeq* i = first_contour; i != NULL; i = i->h_next){
    retHulls = cvConvexHull2(i,hull_storage,CV_CLOCKWISE,0);
    printf(" %d elements:\n", retHulls->total );

    CvSeq* defect = NULL;
    defect = cvConvexityDefects(i,retHulls, NULL); // reuse storage of the contour
    printf(" %d defect:\n", defect->total );

    // drawing hull.... you can't use the one returned above since it only
    // contains indices
    retHulls = cvConvexHull2(i,hull_storage,CV_CLOCKWISE,1);
    cvDrawContours(
        hull_img,
        retHulls,
        CVX_RED,
        CVX_BLUE,
        0,
        2,
        8
     );
  }

  cvShowImage( "hull", hull_img );
  /* ... */