Region-based image retrieval system using efficient feature description

Byoung Chul Ko, Hae Sung Lee, Hyeran Byun

Research output: Contribution to journalArticle

22 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)283-286
Number of pages4
JournalProceedings-International Conference on Pattern Recognition
Volume15
Issue number4
DOIs
Publication statusPublished - 2000 Jan 1

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Image retrieval
Image segmentation
Color
Textures

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

Cite this

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Region-based image retrieval system using efficient feature description. / Ko, Byoung Chul; Lee, Hae Sung; Byun, Hyeran.

In: Proceedings-International Conference on Pattern Recognition, Vol. 15, No. 4, 01.01.2000, p. 283-286.

Research output: Contribution to journalArticle

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