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Invariant texture classification using a spatial filter bank in multi-resolution analysis.
- Source :
-
Image & Vision Computing . Jan2016, Vol. 45, p1-10. 10p. - Publication Year :
- 2016
-
Abstract
- This paper proposed a new method based on spatial filter banks and discrete wavelet transform (DWT) for invariant texture classification. The method used a multi-resolution analysis method like DWT and applied the proposed filter bank on different resolutions. Then, a simple fusion of features on different resolutions was used for invariant texture analysis. A comprehensive study was done to examine the effectiveness of the proposed method. Different datasets with different properties were used in this paper such as Brodatz, Outex, and KTH-TIPS for the evaluation. Local binary pattern (LBP) methods have been one of the powerful methods in recent years for invariant texture classification. A comparative study was performed with some state-of-the-art LBP methods. This comparison indicated promising results for the proposed approach as compared with the LBP methods. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 02628856
- Volume :
- 45
- Database :
- Academic Search Index
- Journal :
- Image & Vision Computing
- Publication Type :
- Academic Journal
- Accession number :
- 112240311
- Full Text :
- https://doi.org/10.1016/j.imavis.2015.10.002