Title
Comparative evaluation of classical methods, optimized gabor filters and LBP for texture feature selection and classification
Abstract
This paper builds upon a previous texture feature selection and classification methodology by extending it with two state-of-the-art families 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-occurrence 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.
Year
DOI
Venue
2007
10.1007/978-3-540-74272-2_113
CAIP
Keywords
Field
DocType
gabor wavelet filter,classification methodology,optimized gabor filter,texture method,classical method,local binary pattern operator,classical family,comparative evaluation,previous texture feature selection,texture filter,co-occurrence matrix,brodatz composition,texture feature extraction method,wavelet transform,comparative study,gabor wavelets,local binary pattern
Computer vision,Feature selection,Pattern recognition,Gabor wavelet,Computer science,Matrix (mathematics),Local binary patterns,Feature extraction,Gabor filter,Artificial intelligence,Operator (computer programming),Wavelet transform
Conference
Volume
ISSN
Citations 
4673
0302-9743
1
PageRank 
References 
Authors
0.38
8
3
Name
Order
Citations
PageRank
Jaime Melendez1547.33
Domenec Puig233254.33
Miguel Angel Garcia315412.86