细化函数定义如下所示:
//对输入图像进行细化
void ThinImage(IplImage* src, IplImage* dst, int iterations)
{
CvSize size = cvGetSize(src);
cvCopy(src, dst);//拷贝一个数组给另一个数组
int n = 0,i = 0,j = 0;
for(n=0; n<iterations; n++)
{
IplImage* t_image;
t_image = cvCloneImage(dst);
for(i=0; i<size.height; i++)
{
for(int j=0; j<size.width; j++)
{
if(CV_IMAGE_ELEM(t_image,byte,i,j)==1)
{
int ap=0;
int p2 = (i==0)?0:CV_IMAGE_ELEM(t_image,byte, i-1, j);
int p3 = (i==0 || j==size.width-1)?0:CV_IMAGE_ELEM(t_image,byte, i-1, j+1);
if (p2==0 && p3==1)
{
ap++;
}
int p4 = (j==size.width-1)?0:CV_IMAGE_ELEM(t_image,byte,i,j+1);
if(p3==0 && p4==1)
{
ap++;
}
int p5 = (i==size.height-1 || j==size.width-1)?0:CV_IMAGE_ELEM(t_image,byte,i+1,j+1);
if(p4==0 && p5==1)
{
ap++;
}
int p6 = (i==size.height-1)?0:CV_IMAGE_ELEM(t_image,byte,i+1,j);
if(p5==0 && p6==1)
{
ap++;
}
int p7 = (i==size.height-1 || j==0)?0:CV_IMAGE_ELEM(t_image,byte,i+1,j-1);
if(p6==0 && p7==1)
{
ap++;
}
int p8 = (j==0)?0:CV_IMAGE_ELEM(t_image,byte,i,j-1);
if(p7==0 && p8==1)
{
ap++;
}
int p9 = (i==0 || j==0)?0:CV_IMAGE_ELEM(t_image,byte,i-1,j-1);
if(p8==0 && p9==1)
{
ap++;
}
if(p9==0 && p2==1)
{
ap++;
}
if((p2+p3+p4+p5+p6+p7+p8+p9)>1 && (p2+p3+p4+p5+p6+p7+p8+p9)<7)
{
if(ap==1)
{
if(p2*p4*p8==0)
{
if(p2*p6*p8==0)
{
CV_IMAGE_ELEM(dst, byte,i,j)=0;
}
}
}
}
}
}
}
cvReleaseImage(&t_image);
}
//将二值图像转换成灰度,以便显示
i = 0;j = 0;
size = cvGetSize(dst);
for(i=0; i<size.height; i++)
{
for(j=0; j<size.width; j++)
{
if(CV_IMAGE_ELEM(dst,uchar,i,j)==1)
{
CV_IMAGE_ELEM(dst,uchar,i,j) = 255;
}
else
{
CV_IMAGE_ELEM(dst,uchar,i,j) = 0;
}
}
}
}
左边是细化前图像,右边是细化之后图像