Wavelet feature selection for image classification

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
Ke Huang, Selin Aviyente

Abstract

Energy distribution over wavelet subbands is a widely used feature for wavelet packet based texture classification. Due to the overcomplete nature of the wavelet packet decomposition, feature selection is usually applied for a better classification accuracy and a compact feature representation. The majority of wavelet feature selection algorithms conduct feature selection based on the evaluation of each subband separately, which implicitly assumes that the wavelet features from different subbands are independent. In this paper, the dependence between features from different subbands is investigated theoretically and simulated for a given image model. Based on the analysis and simulation, a wavelet feature selection algorithm based on statistical dependence is proposed. This algorithm is further improved by combining the dependence between wavelet feature and the evaluation of individual feature component. Experimental results show the effectiveness of the proposed algorithms in incorporating dependence into wavelet feature selection.

References

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Citations

Sep 30, 2015·Microscopy and Microanalysis : the Official Journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada·Xiaodong LanYuesheng Huang
Nov 25, 2011·IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society·Sumeet DuaS Vinitha Sree
Sep 29, 2011·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Yongsheng Dong, Jinwen Ma
Jun 22, 2015·Computers in Biology and Medicine·Chandrasekaran Raja, Narayanan Gangatharan
Apr 6, 2016·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Yu ZhangJianfei Cai
Jun 26, 2014·Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society·Omar S Al-Kadi
Oct 25, 2013·Journal of Veterinary Diagnostic Investigation : Official Publication of the American Association of Veterinary Laboratory Diagnosticians, Inc·Arthur HattelBhushan Jayarao
Dec 7, 2018·Physiological Measurement·Eoghan DunneEmily Porter

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