Image features extraction and selection are the premise of the defects classifier built-up.

缺陷图像的特征提取和选择是缺陷分类器设计的前提。

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Secondly, the method of region feature extraction and optimal feature selection are studied based on PCA, and the effective features are constructed for the target by the analysis of the PCA.

其次，本文研究了区域形状特征提取及基于PCA的特征选择方法，通过对区域特征进行优化选择，构造准确描述目标特性且维数较低的特征。

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The selection of features depends on the algorithm of feature extraction , and we use the 14-point ASM(Active Shape Model) in this paper.

特征的选取取决于特征提取的算法，本文采用的是14点主动形状模型。

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