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  • 标题:Extended Standard Hough Transform for Analytical Line Recognition
  • 本地全文:下载
  • 作者:Abdoulaye SERE ; Oumarou SIE ; Eric ANDRES
  • 期刊名称:International Journal of Advanced Computer Science and Applications(IJACSA)
  • 印刷版ISSN:2158-107X
  • 电子版ISSN:2156-5570
  • 出版年度:2013
  • 卷号:4
  • 期号:3
  • DOI:10.14569/IJACSA.2013.040339
  • 出版社:Science and Information Society (SAI)
  • 摘要:This paper presents a new method which extends the Standard Hough Transform for the recognition of naive or standard line in a noisy picture. The proposed idea conserves the power of the Standard Hough Transform particularly a limited size of the parameter space and the recognition of vertical lines. The dual of a segment, and the dual of a pixel have been proposed to lead to a new definition of the preimage. Many alternatives of approximation could be established for the sinusoid curves of the dual of a pixel to get new algorithms of line recognition.
  • 关键词:thesai; IJACSA; thesai.org; journal; IJACSA papers; hough; transform; recognition; discrete
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