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 (1980), filters derived from well-known discrete transforms, and Gabor filters. The post-processing step comprises nonlinear point oper...

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Bibliographic Details
Main Authors: Grigorescu, S.E., Petkov, N., Kruizinga, P.
Format: Conference Proceeding
Language:English
Subjects:
Channel bank filters
Discrete Fourier transforms
Filter bank
Filtering
Fourier transforms
Gabor filters
Maximum likelihood detection
Nonlinear filters
Statistics
Vectors
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Description
Summary:Texture feature extraction operators, which comprise linear filtering, eventually followed by post-processing, are considered. The filters used are Laws' masks (1980), filters derived from well-known discrete transforms, and Gabor filters. The post-processing step comprises nonlinear 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 improves considerably the performance of filter based texture operators.
ISSN:1051-4651
2831-7475
DOI:10.1109/ICPR.2000.903685