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  • 标题:LSD: a Line Segment Detector
  • 本地全文:下载
  • 作者:Rafael Grompone von Gioi ; Jérémie Jakubowicz ; Jean-Michel Morel
  • 期刊名称:Image Processing On Line
  • 电子版ISSN:2105-1232
  • 出版年度:2012
  • 卷号:2
  • DOI:10.5201/ipol.2012.gjmr-lsd
  • 出版社:Image Processing On Line
  • 摘要:

    LSD is a linear-time Line Segment Detector giving subpixel accurate results. It is designed to work on any digital image without parameter tuning. It controls its own number of false detections: On average, one false alarms is allowed per image. The method is based on Burns, Hanson, and Riseman's method, and uses an a-contrario validation approach according to Desolneux, Moisan, and Morel's theory. The version described here includes some further improvement over the one described in the original article.

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