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Published Articles >> Table of Contents >> Abstract
15th International Conference on Pattern Recognition (ICPR'00) - Volume 4
p. 4283
Region-Based Image Retrieval System Using Efficient Feature Description
ByoungChul Ko, Yonsei University
Hae-Sung Lee, Yonsei University
Hyeran Byun, Yonsei University
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2000.902914
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In this paper, we introduce a region-based image retrieval system, FRIP. This system includes a robust image segmentation scheme using scaled and shifted color and shape description scheme using Modified Radius-based Signature. For image segmentation, by using our proposed circular filter, we can keep the boundary of object naturally and merge small senseless regions of object into a whole body. For efficient shape description, we extract five features from each region: color, texture, scale, location, and shape. From these features, we calculate the similarity distance between the query and database regions and it returns the top K-nearest neighbor regions.
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Citation:
ByoungChul Ko, Hae-Sung Lee, Hyeran Byun,
"Region-Based Image Retrieval System Using Efficient Feature Description,"
icpr,
p. 4283,
15th International Conference on Pattern Recognition (ICPR'00) - Volume 4,
2000
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