Curve-Skeleton Extraction Using Appropriate Threshold Optimization
The curve-skeleton of an object is an important abstract geometrical and topological representation of its shape,which is extremely useful for pattern recognition and computer vision applications involving in shape analysis.In this paper,we propose an effective algorithm for extracting curve skeleton based on the definition and properties of curve skeleton from pixel cloud,which integrates the advantages of the visual main parts reliability for object recognition and the skeletons reduced-dimension for object representation.This algorithm can detect each pixel of the image,and find the salience value of each pixel; the salience value is the possibility of the pixel being a skeleton point.Then an appropriate threshold is selected to pruning the skeleton and to get the curve skeleton.In this way,the algorithm can be effective in reducing the number of non skeleton pixels,and reduce the overall time of extracting skeleton.The experiments show that the skeleton keeps the topology of the target.And the corners of the skeleton are smoother and more natural.In additionally,it can effectively reduce redundant branches of skeleton.
skeleton curve skeleton prunning
Shuai Wang Zhongpan Qiu Zhijun Song
Cognitive Science Department,Xiamen University,Xiamen,China;Fuiian Key Laboratory of the Brain-like Intelligent Systems(Xiamen University),Xiamen,China
国际会议
郑州
英文
1731-1738
2013-10-19（万方平台首次上网日期，不代表论文的发表时间）