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Region-based image retrieval system using efficient feature description

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3 Author(s)
ByoungChul Ko ; Dept. of Comput. Sci., Yonsei Univ., Seoul, South Korea ; Hae-Sung Lee ; Hyeran Byun

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 5 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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Pattern Recognition, 2000. Proceedings. 15th International Conference on  (Volume:4 )

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