Referenced Items are not available for this document.
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
Published in:
Pattern Recognition, 2000. Proceedings. 15th International Conference on
(Volume:3
)
Date of Conference: 2000
- Page(s):
- 885 - 888 vol.3
- Meeting Date :
- 03 Sep 2000-07 Sep 2000
- ISSN :
- 1051-4651
- Print ISBN:
- 0-7695-0750-6
- INSPEC Accession Number:
- 6900719
- Conference Location :
- Barcelona
- Digital Object Identifier :
- 10.1109/ICPR.2000.903685
- Product Type:
- Conference Publications
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