文章基本信息

标题：Vision-based inspection and segmentation of trimmed steel edges
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作者：Alexander Zeiler ; Andreas Steinboeck ; Markus Vincze 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2019
卷号：52
期号：14
页码：165-170
DOI：10.1016/j.ifacol.2019.09.182
语种：English
出版社：Elsevier
摘要：This paper deals with the automated online-inspection of trimmed edges of heavy steel plates. These edges sometimes exhibit defective fractured areas and burr. A novel algorithm is presented, which segments the images recorded by a CCD camera into burnished area, defective fractured area, burr, and area which exhibits a high quality. The segmented images will serve as a basis for quality control, generating data for machine learning, and informing the plant operator in case of insufficient quality. The segmentation is performed via thresholding, morphologic operations, estimation methods as well as statistical methods. The underlying framework is presented and example images demonstrate the capability of the algorithm to segment trimmed edges with various properties.
关键词：Keywordssteel industryside trimmingheavy platemachine visiondefect detectionprocess monitoringsegmentation