Study on machine vision based on bottle inspecting system - 文章详情页

作者：

Wu, Bin (Wu, Bin.) | Hu, Yan-Yan (Hu, Yan-Yan.) | Xiao, Ai-Min (Xiao, Ai-Min.) | He, Cun-Fu (He, Cun-Fu.) (学者：何存富) | Song, Guo-Rong (Song, Guo-Rong.)

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摘要：

For　the　purpose　of　detecting　bottle　flaws　automatically　with　the　computer　vision　technology,　this　paper　analyzes　the　optical　characteristics　of　the　bottle　flaws　and　studies　the　technology　of　image　acquisition,　image　pre-processing,　image　segmentation,　flaw　recognition　and　peripheral　device　communication　and　control　in　the　procedure　of　flaw　detection.　It　implements　a　on-line　flaw　detection　system　based　on　computer　vision　technology　which　is　suitable　for　the　lab　environment.　The　result　demonstrates　that　the　system　can　effectively　inspect　the　defective　empty　bottles.

关键词：

Bottles Computer vision Defects Edge detection Image acquisition Image segmentation Pattern recognition

作者机构：

[ 1 ] [Wu, Bin]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100022, China
[ 2 ] [Hu, Yan-Yan]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100022, China
[ 3 ] [Xiao, Ai-Min]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100022, China
[ 4 ] [He, Cun-Fu]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100022, China
[ 5 ] [Song, Guo-Rong]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100022, China

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