| 一种基于阈值优化的视觉主骨架提取方法; Curve-Skeleton Extraction Using Appropriate Threshold Optimization | |
| 王帅 ; 邱仲潘 ; 宋智军 | |
| 2013-04-25 | |
| 关键词 | 图像处理 骨架 视觉主骨架 毛刺 拓扑结构 Image processing Skeleton Curve Skeleton Pruning Topology |
| 英文摘要 | 该文根据骨架定义及优秀骨架的性质,提出一种图像处理方法。该方法对图像的物体像素点进行检测,评测每个像素点成为骨架点的可能性大小,然后以一个阈值对像素点进行分类,以便确定后续进行骨架提取的像素点,并通过选取适当的阈值,来获取视觉主骨架。实验表明:该方法与传统骨架提取方法相结合,所获取骨架较好地保存了目标的主要拓扑结构,在骨架的拐角更加圆滑、自然,能够有效减少骨架毛刺,并且处理所需时间有效减少。; 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 skeleton’s 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. |
| 语种 | zh_CN |
| 内容类型 | 期刊论文 |
| 源URL | [http://dspace.xmu.edu.cn/handle/2288/123100]  |
| 专题 | 信息技术－已发表论文 |
| 推荐引用方式 GB/T 7714 | 王帅,邱仲潘,宋智军. 一种基于阈值优化的视觉主骨架提取方法, Curve-Skeleton Extraction Using Appropriate Threshold Optimization[J],2013. |
| APA | 王帅,邱仲潘,&宋智军.(2013).一种基于阈值优化的视觉主骨架提取方法.. |
| MLA | 王帅,et al."一种基于阈值优化的视觉主骨架提取方法".(2013). |
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