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Automatic Fiber Orientation Detection for Sewed Carbon Fibers
作者姓名:石磊盛  吴甦
作者单位:Department of Industrial Engineering Tsinghua University,Department of Industrial Engineering Tsinghua University,Beijing 100084 China,Beijing 100084 China
基金项目:Supported by the DAAD (German Academic Exchange Service) on Its Exchange Student Program
摘    要:Automatic production and precise positioning of carbon fiber reinforced plastics (FRP) require precise detection of the fiber orientations. This paper presents an automatic method for detecting fiber orienta- tions of sewed carbon fibers in the production of FRP. Detection was achieved by appropriate use of regional filling, edge detection operators, autocorrelation methods, and the Hough transformation. Regional filling was used to reduce the influence of the sewed regions, autocorrelation was used to clarify the fiber di- rections, edge detection operators were used to extract the edge features for the fiber orientations, and the Hough transformation was used to calculate the angles. Results for two kinds of carbon fiber materials show that the method is relatively quick and precise for detecting carbon fiber orientations.

关 键 词:机器视觉  纤维定向作用  碳纤维  霍夫变换
收稿时间:1 June 2006
修稿时间:2006-06-01

Automatic Fiber Orientation Detection for Sewed Carbon Fibers
SHI Leisheng,WU Su.Automatic Fiber Orientation Detection for Sewed Carbon Fibers[J].Tsinghua Science and Technology,2007,12(4):447-452.
Authors:SHI Leisheng  WU Su
Institution:Department of Industrial Engineering, Tsinghua University, Beijing 100084, China
Abstract:Automatic production and precise positioning of carbon fiber reinforced plastics (FRP) require precise detection of the fiber orientations. This paper presents an automatic method for detecting fiber orienta- tions of sewed carbon fibers in the production of FRP. Detection was achieved by appropriate use of regional filling, edge detection operators, autocorrelation methods, and the Hough transformation. Regional filling was used to reduce the influence of the sewed regions, autocorrelation was used to clarify the fiber di- rections, edge detection operators were used to extract the edge features for the fiber orientations, and the Hough transformation was used to calculate the angles. Results for two kinds of carbon fiber materials show that the method is relatively quick and precise for detecting carbon fiber orientations.
Keywords:machine vision  fiber orientation  Hough transformation  edge detection  autocorrelation
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