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布面疵点光学/计算机混合识别法的研究
引用本文:薄立,张云虎,王耀东,高宝山. 布面疵点光学/计算机混合识别法的研究[J]. 武汉大学学报 ( 信息科学版),1988,13(3): 65-73.
作者姓名:薄立  张云虎  王耀东  高宝山
摘    要:验布是纺织工业中一道重要工序,但至今未能实观验布自动化,主要原因是布的疵点种类繁多不易识别。本文应用光学变换系统对疵点特征进行变换,用楔/环探测器进行特征提取和信息量压缩,应用计算机模式识别理论进行疵点的分类,经实验证明应用这种方法识别疵点能取得良好效果。

关 键 词:布面疵点  楔/环探测器  特征抽取  模式识别  光学功率谱
收稿时间:1987-10-26

Using Optical/Digital Hybrid Processor to Inspect Fabric Defects
Bo Li,Zhang Yuhu,Wang Yaodong,Gao Baoshan. Using Optical/Digital Hybrid Processor to Inspect Fabric Defects[J]. Geomatics and Information Science of Wuhan University ,1988,13(3): 65-73.
Authors:Bo Li Zhang Yuhu Wang Yaodong Gao Baoshan
Affiliation:Bo Li Zhang Yuhu Wang Yaodong Gao Baoshan
Abstract:Fabric inspection plays a significant part in the textile industry, but it can not be done automatically yet, because the full number of defect fault is large and the defect cannot be inspected easily.In this paper, the defect fault information has been transformed by an optical system, sampled by a wedge/ring detector and then classified by a computer by using the pattern recognition theory. We have obtained a good result in our experiment.
Keywords:fabric defect  wedge/ring detector  feature extraction  pattern recognition  optical spectrum
本文献已被 CNKI 等数据库收录!
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