1. Wavelet-Based Image Texture Classification Using Local Energy Histograms.
- Author
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Dong, Yongsheng and Ma, Jinwen
- Subjects
TEXTURE analysis (Image processing) ,WAVELETS (Mathematics) ,HISTOGRAMS ,HIGH definition video recording ,CLASSIFICATION ,FEATURE extraction - Abstract
In this letter, we propose an efficient one-nearest-neighbor classifier of texture via the contrast of local energy histograms of all the wavelet subbands between an input texture patch and each sample texture patch in a given training set. In particular, the contrast is realized with a discrepancy measure which is just a sum of symmetrized Kullback–Leibler divergences between the input and sample local energy histograms on all the wavelet subbands. It is demonstrated by various experiments that our proposed method obtains a satisfactory texture classification accuracy in comparison with several current state-of-the-art texture classification approaches. [ABSTRACT FROM PUBLISHER]
- Published
- 2011
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