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Comparative Evaluation of Classical Methods, Optimized Gabor Filters and LBP for Texture Feature Selection and Classification.
- Source :
- Computer Analysis of Images & Patterns (9783540742715); 2007, p912-920, 9p
- Publication Year :
- 2007
-
Abstract
- This paper builds upon a previous texture feature selection and classification methodology by extending it with two state-of-the-art fami lies of texture feature extraction methods, namely Manjunath & Ma's Gabor wavelet filters and Local Binary Pattern operators (LBP), which are integrated with more classical families of texture filters, such as co-occur rence matrices, Laws filters and wavelet transforms. Results with Brodatz compositions and outdoor images are evaluated and discussed, being the basis for a comparative study about the discrimination capabilities of those different families of texture methods, which have been traditionally applied on their own. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISBNs :
- 9783540742715
- Database :
- Complementary Index
- Journal :
- Computer Analysis of Images & Patterns (9783540742715)
- Publication Type :
- Book
- Accession number :
- 33316572
- Full Text :
- https://doi.org/10.1007/978-3-540-74272-2_113