Rotation- and scale-invariant texture classification using slide matching of the Gabor feature

Kam Keung Fung, Kin Man Lam

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

4 Citations (Scopus)

Abstract

This paper proposes a set of efficient algorithms for rotation- and scale-invariant texture classification. This set is based on the well established Gabor feature. A circular sum of the Gabor feature elements belonging to the same scale is proposed to reduce the effect of rotation, while a slide matching of augmented scales is proposed to address the effect of scaling. The resulting feature vector is more compact, and the distance measure requires less computation. Experimental results indicate that this algorithm is effective for classifying texture images under different scales and rotations.
Original languageEnglish
Title of host publicationISPACS 2009 - 2009 International Symposium on Intelligent Signal Processing and Communication Systems, Proceedings
Pages521-524
Number of pages4
DOIs
Publication statusPublished - 1 Dec 2009
Event2009 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2009 - Kanazawa, Japan
Duration: 7 Dec 20099 Dec 2009

Conference

Conference2009 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2009
Country/TerritoryJapan
CityKanazawa
Period7/12/099/12/09

Keywords

  • Feature extraction
  • Gabor filters
  • Image retrieval
  • Scale and rotation invariance

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Electrical and Electronic Engineering
  • Communication

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