Rotation-invariant texture analysis using multi-resolution Slit kernels

Author

Fung, Kam-Keung ; Lam, Kin-Man

Author_Institution

Dept. of Electron. & Inf. Eng., Hong Kong Polytech. Univ., Hong Kong, China

fYear

2009

fDate

18-19 Nov. 2009

Firstpage

199

Lastpage

204

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. Extracting 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.

Keywords

Gabor filters; feature extraction; image texture; Gabor features; Gabor filters; feature extraction; multiresolution slit kernels; rotation-invariant texture analysis; texture images; Computer applications; Feature extraction; Gabor filters; Image analysis; Image processing; Image texture analysis; Information analysis; Kernel; Signal analysis; Signal processing algorithms; Feature extraction; Gabor filters; image processing; invariance; objection recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal and Image Processing Applications (ICSIPA), 2009 IEEE International Conference on

Conference_Location

Kuala Lumpur

Print_ISBN

978-1-4244-5560-7

Type

conf

DOI

10.1109/ICSIPA.2009.5478618

Filename

5478618