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A MACHINE VISION SYSTEM FOR INSPECTING WOOD SURFACE DEFECTS BY USING NEURAL NETWORK
作者姓名:王克奇  白景峰
作者单位:Northeast Forestry University,Harbin 150040,China
摘    要:m0DUrn0NStUapngthemachinevislonsystemistOraiseautomahonlevelOfdefectsinspechonandtOimProvePredctsquality.Inthispaper,themainfunhonOfthisknOwledge-basedmachinevisionsystemistodetectUndsirable"defecs"thatcanamparonthesutheeoftheroughwoodlumbers.F0ramachinevisionsystemtohandieacomPlexProblem,alotofaPriorknOwedgemustbeembeddedideitinanorsanibomanner.Itisimportanttokeepdomain-specificknOWedgeseparatefrOmageneralknOwedgeaboutthenetWrkinSpechonPrObIeminordertOmakeasystemeasilyadaPtabletodi…


A machine vision system for inspecting wood surface defects by using neural network
Wang Keqi,Bai Jingfeng.A MACHINE VISION SYSTEM FOR INSPECTING WOOD SURFACE DEFECTS BY USING NEURAL NETWORK[J].Journal of Forestry Research,1996,7(2):63-65.
Authors:Wang Keqi  Bai Jingfeng
Institution:(1) Northeast Forestry University, 150040 Harbin, China
Abstract:With the development of wood industry, the processing of wood products becomemore significant. This paper discusses the developmen of machine vision system used to inspect andclassny the various types of defects of wood suxface. The surface defeds means the variations ofcolour and textUre. The machine vision system is to dated undesirable "defecs" that can appear onthe surface of rough wood lwnber. A neural network was used within the Blackboard framework fora labeling verification step of the high-level recognition module of vision system. The system hasbere successfully tested on a number of boards from several different species.
Keywords:Neural network Machine vision  Defects inspection  
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