Feature Selection for Image Classification Based on a New Ranking Criterion

• 作者: Jiajun Wang Xuan Zhou
• 来源期刊: 电脑和通信(英文)
• 学科: 工学
• 关键词: FEATURE SELECTION for IMAGE Classification Based on a New RANKING CRITERION
• 年，卷（期）: dnhtxyw_2015,（3）
• 页码范围: 74-79
• 页数: 6页
• 分类号: TP39

摘要

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.