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ICPR
2000
IEEE

A Comparative Study of Filter Based Texture Operators Using Mahalanobis Distance

9 years 11 months ago
A Comparative Study of Filter Based Texture Operators Using Mahalanobis Distance
Texture feature extraction operators, which comprise linear filtering, eventually followed by post-processing, are considered. The filters used are Laws' masks, filters derived from well-known discrete transforms, and Gabor filters. The post-processing step comprises non-linear point operations and/or local statistics computation. The performance is measured by means of the Mahalanobis distance between clusters of feature vectors derived from different textures. The results show that post-processing improve considerably the performance of filter based texture operators.
Simona E. Grigorescu, Nicolai Petkov, Peter Kruizi
Added 09 Nov 2009
Updated 09 Nov 2009
Type Conference
Year 2000
Where ICPR
Authors Simona E. Grigorescu, Nicolai Petkov, Peter Kruizinga
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