An efficient texture feature extraction algorithm for arbitrary-shaped regions

Ying Liu, Wei-Ying Ma, Dengsheng Zhang, Guojun Lu

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

Abstract

Region-based image retrieval has been an active research area. Texture is one of the important features to describe regions. In this paper, an efficient texture feature extraction algorithm for arbitrary-shaped regions is presented. With a proper initial padding used, the algorithm first extends an arbitrary-shaped region into a rectangular area onto which block transformation can be applied. Then a set of coefficients are selected, from which texture feature of the region can be extracted. Experimental results demonstrate the effectiveness of the proposed algorithm in texture feature extraction from arbitrary-shaped regions for image retrieval purposes. And it is shown that a proper initial padding is the key to the performance of the algorithm.
Original languageEnglish
Title of host publication2004 7th International Conference on Signal Processing Proceedings, ICSP
Pages1039-1042
DOIs
Publication statusPublished - 2004
Externally publishedYes
Event2004 7th International Conference on Signal Processing Proceedings, ICSP - Beijing, China
Duration: 31 Aug 20044 Sept 2004

Publication series

Name2004 7th International Conference on Signal Processing Proceedings, ICSP

Conference

Conference2004 7th International Conference on Signal Processing Proceedings, ICSP
PlaceChina
CityBeijing
Period31/08/044/09/04

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Research Keywords

  • Arbitrary shaped-region
  • Padding
  • Texture feature

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