Extracting texture features from arbitrary-shaped regions for image retrieval

Ying Liu, Xiaofang Zhou, Wei-Ying Ma

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

21 Citations (Scopus)

Abstract

Lots of work has been done in texture feature extraction for rectangular images, but not as much attention has been paid to the arbitrary-shaped regions available in region-based image retrieval (RBIR) systems. In this paper, we present a texture feature extraction algorithm based on Projection Onto Convex Sets (POCS) theory. POCS iteratively concentrates more and more energy into the selected coefficients from which texture feature of an arbitrary-shaped region can be extracted. Experimental results demonstrate the effectiveness of the proposed algorithm for image retrieval purposes.
Original languageEnglish
Title of host publication2004 IEEE International Conference on Multimedia and Expo (ICME)
Pages1891-1894
Volume3
DOIs
Publication statusPublished - 2004
Externally publishedYes
Event2004 IEEE International Conference on Multimedia and Expo (ICME) - Taipei, Taiwan, China
Duration: 27 Jun 200430 Jun 2004

Publication series

Name2004 IEEE International Conference on Multimedia and Expo (ICME)
Volume3

Conference

Conference2004 IEEE International Conference on Multimedia and Expo (ICME)
PlaceTaiwan, China
CityTaipei
Period27/06/0430/06/04

Bibliographical note

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