Rotation-invariant texture analysis using multi-resolution slit kernels

Kam Keung Fung, Kin Man Lam

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

Abstract

This paper presents a set of simple Slit kernel suitable for regular and rotation-invariant texture analysis. The fast algorithm used to compute its feature is also presented. Ex- tracting Slit features requires 11 to 17% of arithmetic operations when compared to that for Gabor features. Experimental results for the classification of rotated texture images indicate that Slit kernels perform as well as, or sometimes better than, Gabor ones. This makes Slit suitable for applications where computational speed is important.
Original languageEnglish
Title of host publicationICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings
Pages199-204
Number of pages6
DOIs
Publication statusPublished - 1 Dec 2009
Event2009 IEEE International Conference on Signal and Image Processing Applications, ICSIPA09 - Kuala Lumpur, Malaysia
Duration: 18 Nov 200919 Nov 2009

Conference

Conference2009 IEEE International Conference on Signal and Image Processing Applications, ICSIPA09
CountryMalaysia
CityKuala Lumpur
Period18/11/0919/11/09

Keywords

  • Feature extraction
  • Gabor filters
  • Image processing
  • Invariance
  • Objection recognition

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing

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