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15th International Conference on Pattern Recognition (ICPR'00) - Volume 4
Region-Based Image Retrieval System Using Efficient Feature Description
Barcelona, Spain
September 03-September 08
ISBN: 0-7695-0750-6
ByoungChul Ko, Yonsei University
Hae-Sung Lee, Yonsei University
Hyeran Byun, Yonsei University
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.
Citation:
ByoungChul Ko, Hae-Sung Lee, Hyeran Byun, "Region-Based Image Retrieval System Using Efficient Feature Description," icpr, vol. 4, pp.4283, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 4, 2000
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