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  • 标题:Extensions of Standard Hough Transform based on Object Dual and Application
  • 本地全文:下载
  • 作者:Abdoulaye Sere ; Oumarou Sie ; Sado Traore
  • 期刊名称:Journal of Emerging Trends in Computing and Information Sciences
  • 电子版ISSN:2079-8407
  • 出版年度:2015
  • 卷号:6
  • 期号:1
  • 页码:20-24
  • 出版社:ARPN Publishers
  • 摘要:This paper proposes a set of Standard Hough Transforms for the recognition of naif, standard, thin analytic straight line. The Standard Hough Transform is applied to some objects to obtain the data of the accumulator in order to permit the detection. A Hough Transform based on the thickness of analytic straight line is de?ned and an experiment result of the standard Hough Transform based on a square is also presented in this paper. The proposed methods take the recognition in noisy images into account. The proposed methods could be implemented and added to the functions of image processing software.
  • 关键词:Hough Transform; Discrete geometry; Pattern Recognition; Reconstruction
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