16 April 2014 Discriminative dictionary based representation and classification of image texture
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Proceedings Volume 9159, Sixth International Conference on Digital Image Processing (ICDIP 2014); 91590S (2014) https://doi.org/10.1117/12.2064233
Event: Sixth International Conference on Digital Image Processing, 2014, Athens, Greece
Abstract
Texture classification is a fundamental and yet difficult task in machine vision and image processing. In recent years, more and more researchers' attention has been drawn to the sparse representation-based classification (SRC) method and its corresponding dictionaries designing in pattern recognition community, due to its high recognition rate, robustness to corruption and occlusion, and little dependence on the features, etc. In this paper, we present a discriminative dictionary learning approach, and apply it to the sparse representation based classification framework for image texture representation and classification. The experimental results conducted on different testing data demonstrate the promise of our new approach when compared with the previous algorithms.
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Bo Sun, Xuewen Wu, Jun He, "Discriminative dictionary based representation and classification of image texture", Proc. SPIE 9159, Sixth International Conference on Digital Image Processing (ICDIP 2014), 91590S (16 April 2014); doi: 10.1117/12.2064233; https://doi.org/10.1117/12.2064233
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