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。
Wavelet transform is a very useful method for image features extraction and pattern recognition.
子波变换是目标特征抽取和模式识别的有效方法。
Experiment results of lD signal segmentation and 2-D image features extraction with optical wavelet transform are reported.
着重介绍了一维的和二维的光学子波变换实验系统和实验技术。
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