TY - JOUR
T1 - Region-based image retrieval system using efficient feature description
AU - Ko, Byoung Chul
AU - Lee, Hae Sung
AU - Byun, Hyeran
N1 - Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2000
Y1 - 2000
N2 - In this paper, we introduce a region-based image retrieval system, FRIP. This system includes a robust image segmentation scheme using scaled & 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.
AB - In this paper, we introduce a region-based image retrieval system, FRIP. This system includes a robust image segmentation scheme using scaled & 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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U2 - 10.1109/ICPR.2000.902914
DO - 10.1109/ICPR.2000.902914
M3 - Article
AN - SCOPUS:0000733419
VL - 15
SP - 283
EP - 286
JO - Proceedings - International Conference on Pattern Recognition
JF - Proceedings - International Conference on Pattern Recognition
SN - 1051-4651
IS - 4
ER -