文章基本信息

标题：An Unsupervised Algorithm for Detecting Good Continuation in Dot Patterns
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作者：José Lezama ; Gregory Randall ; Jean-Michel Morel 等
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.