Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/32000
Title: Rotation-invariant texture analysis using multi-resolution slit kernels
Authors: Fung, KK
Lam, KM 
Keywords: Feature extraction
Gabor filters
Image processing
Invariance
Objection recognition
Issue Date: 2009
Publisher: IEEE
Source: 2009 IEEE International Conference on Signal and Image Processing Applications (ICSIPA), 18-19 November 2009, Kuala Lumpur, p. 199-204 How to cite?
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.
URI: http://hdl.handle.net/10397/32000
ISBN: 978-1-4244-5560-7
DOI: 10.1109/ICSIPA.2009.5478618
Appears in Collections:Conference Paper

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