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  • 标题:Image Collection for Non-Segmenting Approach of Timber Surface Defect Detection
  • 本地全文:下载
  • 作者:Ummi Raba’ah Hashim ; Siti Zaiton Hashim ; Azah Kamilah Muda
  • 期刊名称:International Journal of Advances in Soft Computing and Its Applications
  • 印刷版ISSN:2074-8523
  • 出版年度:2015
  • 卷号:7
  • 期号:1
  • 出版社:International Center for Scientific Research and Studies
  • 摘要:This paper describes data collection procedure for non-segmenting approach in solving automated timber surface defect detection problem. An overview of Malaysian wood species and the characteristics of the species under study are presented. Description on common defect types is also provided. This paper further explained the details of timber samples being considered, image acquisition setup as well as the steps involved in processing the captured images in preparing the samples for quantitative evaluation. This study shall benefit other researchers by providing useful reference and example on preparation of samples for non- segmenting approach
  • 关键词:Automated vision inspection; Defect image collection; Non- ; segmenting approach; Optical sensor; Timber defect
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