Art

J-GLOBAL ID：201902249347621976   Reference number：19A1117195

Defect Segmentation of Hot-rolled Steel Strip Surface by using Convolutional Auto-Encoder and Conventional Image processing

畳込み自動エンコーダと従来の画像処理を用いた熱間圧延鋼板表面の欠陥セグメンテーション【JST・京大機械翻訳】

Author (4)： Youkachen Sanyapong (Dept. of Electrical Engineering Faculty of Engineering, Kasetsart University, Bangkok, Thailand) ,  Ruchanurucks Miti (Dept. of Electrical Engineering Faculty of Engineering, Kasetsart University, Bangkok, Thailand) ,  Phatrapomnant Teera (National Electronics and Computer Technology Center, National Science and Technology Development Agency Phathum, Thani, Thailand) ,  Kaneko Hirohiko (Dept. of Information and Communications Engineering, Tokyo Institute of Technology, Tokyo, Japan)
Material： IEEE Conference Proceedings  (IEEE Conf Proc)
Volume： 2019  Issue： IC-ICTES  Page： 1-5  Publication year： 2019 
JST Material Number： W2441A  Document type： Proceedings
Article type： 原著論文  Country of issue： United States (USA)  Language： ENGLISH (EN)

Abstract/Point： Defects on steel strip surface...

Register(free) or Log In to access     To see more with JDream III (charged).   {{ this.onShowAbsJLink("http://jdream3.com/lp/jglobal/index.html?docNo=19A1117195&from=J-GLOBAL&jstjournalNo=W2441A") }}

Thesaurus term： band steel ,  visualization ,  *steel ,  fault detection ,  incommensurability ,  *image processing ,  machine learning ,  visual sense ,  reliability(property) ,  *convolution ,  database ,  *segmentation ,  *coder ,  surface defect ,  *hot rolling

JST classification (2)： Antennas  (ND06000M) ,  Graphic and image processing in general  (JE04010I)

Terms in the title (6)： 畳込み ,  エンコーダ ,  画像処理 ,  熱間圧延鋼板 ,  欠陥 ,  セグメンテーション