Abstract
This paper proposes an efficient solution to the problem of per-pixel classification of textured images with multichannel Gabor wavelet filters based on a selection scheme that automatically determines a subset of prototypes that characterize each texture class. Results with Brodatz compositions and outdoor images, and comparisons with alternative classification techniques are presented.
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This work has been partially supported by the Spanish Ministry of Education and Science under projects DPI2004-07993-C03-03 and DPI2007-66556-C03-03.
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Melendez, J., Garcia, M.A. & Puig, D. Efficient distance-based per-pixel texture classification with Gabor wavelet filters. Pattern Anal Applic 11, 365–372 (2008). https://doi.org/10.1007/s10044-007-0097-3
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DOI: https://doi.org/10.1007/s10044-007-0097-3