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);