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  • 标题:An Unsupervised Algorithm for Detecting Good Continuation in Dot Patterns
  • 本地全文:下载
  • 作者:José Lezama ; Gregory Randall ; Jean-Michel Morel
  • 期刊名称:Image Processing On Line
  • 电子版ISSN:2105-1232
  • 出版年度:2017
  • 卷号:7
  • 页码:81-92
  • DOI:10.5201/ipol.2017.176
  • 出版社:Image Processing On Line
  • 摘要:In this article we describe an algorithm for the automatic detection of perceptually relevant configurations of 'good continuation' of points in 2D point patterns. The algorithm is based on the 'a contrario' detection theory and on the assumption that 'good continuation' of points are locally quasi-symmetric. The algorithm has only one critical parameter, which controls the number of false detections.
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