A study of shape-based image retrieval

被引：0
|
作者：
Lin, HJ [1 ]
Kao, YT [1 ]
Yen, SH [1 ]
Wang, CJ [1 ]
机构：
[1] Tamkang Univ, Dept Comp Sci & Informat Engn, Taipei, Taiwan
来源：
24TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS WORKSHOPS, PROCEEDINGS | 2004年
关键词：
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Content-based image retrieval (CBIR) work includes feature selection, object representation, and matching. If a shape is used as feature, edge detection might be the first step to extract that feature. Invariance to translation, rotation, and scale is required by a good shape representation. Sustaining deformation contour matching is an important issue at the matching process. In this paper, an efficient and robust shape-based image retrieval system is proposed. We use the Prompt edge detection method [18] to detect edge points, which is compared with the Sobel edge detection method. We also introduce a shape representation method, the mountain-climbing sequence (MCS), that is invariant to translation, rotation, and scale problems The results of our proposed method show a superior matching ratio even in the presence of a modest level of deformation.
引用
收藏
页码：118 / 123
页数：6
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