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Title: On a relaxation-labeling algorithm for real-time contour-based image similarity retrieval
Contributor(s): Kwan, PH (author); Kameyama, K (author); Toraichi, K (author)
Publication Date: 2003
DOI: 10.1016/S0262-8856(02)00159-2
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Abstract: In this paper, we propose a relaxation-labeling algorithm for real-time contour-based image similarity retrieval that treats the matchingbetween two images as a consistent labeling problem. To satisfy real-time response, our algorithm works by reducing the size of the labeling problem, thus decreasing the processing required. This is accomplished by adding compatibility constraints on contour segments between the images to reduce the size of the relational network and the order of the compatibility coefficient matrix. Particularly, a relatively strong type constraint based on approximating contour segments by straight line, arc, and smooth curve is introduced. A distance metric, defined using the negative of an objective function maximized by the relaxation labeling processes, is used in computing the similarity ranking.Experiments are conducted on 700 trademark images from the Japan Patent Office for evaluation.
Publication Type: Journal Article
Source of Publication: Image and Vision Computing, 21(3), p. 285-294
Publisher: Elsevier
Place of Publication: Netherlands
ISSN: 0262-8856
Field of Research (FOR): 080109 Pattern Recognition and Data Mining
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
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