计算机科学 ›› 2010, Vol. 37 ›› Issue (11): 271-274.

• 图形图像 • 上一篇    下一篇

综合加权骨架段特征的形状图像检索

束鑫,潘磊,吴小俊   

  1. (江苏科技大学计算机科学与工程学院 镇江212003);(江南大学信息工程学院 无锡214122)
  • 出版日期:2018-12-01 发布日期:2018-12-01
  • 基金资助:
    本文受国家自然科学基金项目(60472060,60572034),江苏省自然科学基金项目(BK2006081),教育部新世纪优秀人才支持计划基金项目(NCET-06-0487)资助。

Shape Image Retrieval Based on Integrating Weighted Skeleton Segments Features

SHU Xin,PAN Lei,WU Xiao-jun   

  • Online:2018-12-01 Published:2018-12-01

摘要: 提出了一种基于综合骨架段特征的形状图像检索方法。首先提取图像中目标的骨架,然后根据骨架上的特征点(端点、分叉点)把整个骨架分割成若干骨架段,用矩特征来描述各段骨架。最后通过MSHP(Most Similar Highest Priority)原理对两幅图像中的骨架段对进行相似性度量,从而得到整幅图像之间的距离。实验表明,该方法较传统的基于整个骨架特征的匹配方法能得到更好的检索结果。

关键词: 形状图像检索,骨架,骨架段,MSHP

Abstract: This paper presented an approach on shape image retrieval based on integrating weighted skeleton segments features. Firstly, the skeleton of the object in the image was extracted. Secondly, the skeleton was partitioned into several segments according to the feature points (such as end points and junction points) which were characterized using momenu. Finally, the distance between two images could be obtained based on the principle of MSHP (Most Similar Highest Priority) to measure the similarity between pairs of the segments from two images respectively. Experiments indicate that this approach can acquire better retrieval results than that of the traditional approach based on the whole skeleton features.

Key words: Shape image retrieval, Skeleton, Skeleton segments, MSHP

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