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Title: Rotation-invariant texture analysis using multi-resolution slit kernels
Authors: Fung, KK
Lam, KM 
Issue Date: 2009
Source: 2009 IEEE International Conference on Signal and Image Processing Applications (ICSIPA), 18-19 November 2009, Kuala Lumpur, p. 199-204
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: Feature extraction
Gabor filters
Image processing
Objection recognition
Publisher: IEEE
ISBN: 978-1-4244-5560-7
DOI: 10.1109/ICSIPA.2009.5478618
Appears in Collections:Conference Paper

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