OpenCV中调用cvReleaseMemStorage释放CvSeq内存时的一个奇怪问题

关于两个CvSeq的定义及初始操作如下：

CvSeq* point_seq = 0;
point_seq = cvCreateSeq( CV_32SC2,
sizeof(CvSeq),
sizeof(CvPoint),
storage );

CvSeq* labels = 0;

用完过后，使用

cvReleaseMemStorage(&(point_seq->storage))
cvReleaseMemStorage(&(labels->storage))

释放CvSeq的内存。

但是在释放时会出现此种问题：

0x77bc15de处未处理的异常：0xC0000005：读取位置0xfeeefef6时发生访问冲突。


这个问题应该是由于内存重复释放引发的。因此我们可以设置断点查看一下，释放的2个CvSeq中的storage的内存：

很神奇的是：两块CvSeq共用了一个storage空间。释放时只释放其一即可，更深入的解释，目前自己还没有发现。


另外，openCV内存释放的很多问题，在这篇文章里都有说明：
http://blog.csdn.net/xiaowei_cqu/article/details/7586847

这里是源码：

	IplImage* display;
	display = cvCreateImage(cvSize(img->width, img->height), 8, 3);
	cvZero(display);

	CvMemStorage* storage = cvCreateMemStorage(0);
	CvSeq* point_seq = 0;
	point_seq = cvCreateSeq( CV_32SC2,
		sizeof(CvSeq),
		sizeof(CvPoint),
		storage );
	CvPoint pt_ball;
	int num_i = 0;
	for(int h = 0; h < img->height; h++)
	{
		for(int w = 0; w < img->width; w++)
		{
			if(( (uchar*) (img->imageData + h * img->widthStep) )[w * img->nChannels + 0] == 255)
			{
				pt_ball.x = w;
				pt_ball.y = h;

				cvSeqPush( point_seq, &pt_ball );
				num_i ++;
			}
		}
	}

	int sum_point = num_i;

	int color_templ[4*6*3]				//色彩盒
	= {
		0,0,121,	93,0,158,	91,20,237,	255,61,255,	170,110,240,	200,161,245,
		76,0,13,	113,52,0,	127,91,0,	188,114,0,	203,140,68,		236,211,190,
		38,88,0,	77,118,46,	66,130,98,	112,182,46,	118,197,124,	174,221,178,
		19,57,96,	10,98,163,	0,160,171,	0,242,255,	59,245,255,		139,247,255
	};


	double pos = 5.0;
	CvSeq* labels = 0;
	double threshold = pos*pos;

	int class_count = cvSeqPartition( point_seq,
		0,
		&labels,
		is_equal,
		&threshold );




	//显示相关
	std::cout << "there're " << class_count << " clusters";

	int class_num = 0;
	num_i = 0;
	for(int h = 0; h < img->height; h++)
	{
		for(int w = 0; w < img->width; w++)
		{
			if(( (uchar*) (img->imageData + h * img->widthStep) )[w * img->nChannels + 0] == 255)
			{
				class_num = *(int*)cvGetSeqElem( labels, num_i );
				num_i ++;
				((UCHAR *)(display->imageData + h*display->widthStep))[w*3 + 0] 
				= color_templ[(((class_num))%4)*18 + ((class_num/4 + 3)%6)*3 + 0];
				((UCHAR *)(display->imageData + h*display->widthStep))[w*3 + 1] 
				= color_templ[(((class_num))%4)*18 + ((class_num/4 + 3)%6)*3 + 1];
				((UCHAR *)(display->imageData + h*display->widthStep))[w*3 + 2] 
				= color_templ[(((class_num))%4)*18 + ((class_num/4 + 3)%6)*3 + 2];
			}
		}
	}

 	cvNamedWindow("display", -1);
 	cvShowImage("display", display);
 	cvWaitKey(0);

	int * pBoundaries = new int [4*class_count];
	//0: head  1: bottom  2: left  3: right
	for(int i = 0; i < class_count; i++)				//赋初值
	{
		pBoundaries[4*i + 0] = img->height + 1;
		pBoundaries[4*i + 1] = 0;
		pBoundaries[4*i + 2] = img->width + 1;
		pBoundaries[4*i + 3] = 0;
	}

	num_i = 0;

	for(int h = 0; h < img->height; h++)
	{
		for(int w = 0; w < img->width; w++)
		{
			if(( (uchar*) (img->imageData + h * img->widthStep) )[w * img->nChannels + 0] == 255)
			{
				class_num = *(int*)cvGetSeqElem( labels, num_i );
				num_i++;
				//进行赋值
				if(h < pBoundaries[4*class_num + 0])
				{
					pBoundaries[4*class_num + 0] = h;
				}
				if(h > pBoundaries[4*class_num + 1])
				{
					pBoundaries[4*class_num + 1] = h;
				}
				if(w < pBoundaries[4*class_num + 2])
				{
					pBoundaries[4*class_num + 2] = w;
				}
				if(w > pBoundaries[4*class_num + 3])
				{
					pBoundaries[4*class_num + 3] = w;
				}
			}
		}
	}

	//将最终区域存储
	int numOfPatch = 0;
	for(int i = 0; i < class_count; i++)
	{
		if( (pBoundaries[4*i+1] - pBoundaries[4*i+0] > img->height/20) 
			&& (pBoundaries[4*i+3] - pBoundaries[4*i+2] > img->width/20) )
		{
			numOfPatch ++;				//此番循环之得到个数
		}
	}

	int * pPatch = new int[4*numOfPatch];
	int temp_i = 0;
	for(int i = 0; i < class_count; i++)
	{
		if( (pBoundaries[4*i+1] - pBoundaries[4*i+0] > img->height/10) 
			&& (pBoundaries[4*i+3] - pBoundaries[4*i+2] > img->width/10) )
		{
			pPatch[4*temp_i + 0] = pBoundaries[4*i+0];
			pPatch[4*temp_i + 1] = pBoundaries[4*i+1];
			pPatch[4*temp_i + 2] = pBoundaries[4*i+2];
			pPatch[4*temp_i + 3] = pBoundaries[4*i+3];
			temp_i ++;
		}
	}

	*pNumOfPatch = numOfPatch;


	//释放内存
	delete [] pBoundaries;

	//那些CvSeq的释放………………………………
	cvReleaseMemStorage(& (labels->storage));
	cvReleaseMemStorage(& storage);