Feature Selection for Image Classification Based on a New Ranking Criterion


In this paper, a feature selection method combining the reliefF and SVM-RFE algorithm is proposed. This algorithm integrates the weight vector from the reliefF into SVM-RFE method. In this method, the reliefF filters out many noisy features in the first stage. Then the new ranking criterion based on SVM-RFE method is applied to obtain the final feature subset. The SVM classifier is used to evaluate the final image classification accuracy. Experimental results show that our proposed relief- SVM-RFE algorithm can achieve significant improvements for feature selection in image classification.

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Zhou, X. and Wang, J. (2015) Feature Selection for Image Classification Based on a New Ranking Criterion. Journal of Computer and Communications, 3, 74-79. doi: 10.4236/jcc.2015.33013.

Conflicts of Interest

The authors declare no conflicts of interest.


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