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An adaptive texture image retrieval system using wavelets

  • SUNY Buffalo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

A large number of algorithms have been proposed for texture image retrieval and analysis. While each algorithm has its own characteristics and is suitable for indexing some particular categories of images, there is a lacking of an effective strategy to integrate these algorithms to maximize the retrieval performance based on the algorithms available. Our first step in this direction is to build up a texture image retrieval system which adaptively chooses the "right" transform to query texture database. Experiments on the Brodatz texture set show that the adaptive image retrieval system significantly outperforms the commonly used single-algorithm based ones.

Original languageEnglish
Title of host publicationProceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002
PublisherNanyang Technological University
Pages1210-1215
Number of pages6
ISBN (Print)9810483643, 9789810483647
DOIs
StatePublished - 2002
Event7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002 - Marine Mandarin, Singapore
Duration: Dec 2 2002Dec 5 2002

Publication series

NameProceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002
Volume1

Conference

Conference7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002
Country/TerritorySingapore
CityMarine Mandarin
Period12/2/0212/5/02

Keywords

  • Content-based image retrieval
  • Texture analysis
  • Wavelets

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