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Published Articles >> Table of Contents >> Abstract
24th International Conference on Distributed Computing Systems Workshops - W1: MNSA (ICDCSW'04)
pp. 118-123
A Study of Shape-Based Image Retrieval
Hwei-Jen Lin, Tamkang University
Yang-Ta Kao, Tamkang University
Shwu-Huey Yen, Tamkang University
Chia-Jen Wang, Tamkang University
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDCSW.2004.1284018
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| Abstract |
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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.
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 Additional Information
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Citation:
Hwei-Jen Lin, Yang-Ta Kao, Shwu-Huey Yen, Chia-Jen Wang,
"A Study of Shape-Based Image Retrieval,"
icdcsw,
pp. 118-123,
24th International Conference on Distributed Computing Systems Workshops - W1: MNSA (ICDCSW'04),
2004
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