文章基本信息

标题：Stripe Surface Defect Image Recognition by Supervised Tree ISOMAP and Incremental GRNN
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作者：Gan, Shengfeng ; Sun, Lin ; Wang, Dianhong 等
期刊名称：Journal of Multimedia
印刷版ISSN：1796-2048
出版年度：2014
卷号：9
期号：1
页码：51-58
DOI：10.4304/jmm.9.1.51-58
语种：English
出版社：Academy Publisher
摘要：The new isometric mapping dimensionality reduction algorithm with Incremental Generalized Regression Network has been primarily recognized for stripe surface defects images with the typical characteristics of complex texture, non-uniform image size, asymmetrical number of sample classes, variation illumination environment. This method is suitable to resolve the problem of “short circuit”, stored internal structure in lower dimension space. In addition, the algorithm parameters influence on the stripe surface defect images is greatly reduced. The finally experiment results show that it is effective and efficient for stripe surface defects with the highest recognition rate of stripe surface defect can reach to 97%, and the highest recognition rate of complex stripe surface defect can reach to 74%
关键词：Surface Defect Image Recognition;Supervised Tree ISOMAP;Incremental Generalized Regression Network