缺陷图像的特征提取和选择是缺陷分类器设计的前提。
Image features extraction and selection are the premise of the defects classifier built-up.
对液体火箭发动机故障的原始特征进行特征提取和选择，以使所建立的故障标准模式由少数几个新特征给予有效的表达。
The original feature of fault of liquid rocket engine is extracted, so that the normal pattern of malfunction can be expressed effectively by a few new features.
隐藏检测的研究主要包括特征提取和分类器的选择与设计两个部分。
The study of steganalysis mainly consists feature extraction and classifier selection and design.
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