[IPOL announce] new article: An Unsupervised Algorithm for Detecting Good Continuation in Dot Patterns
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Mon Apr 24 15:36:20 CEST 2017
A new article is available in IPOL: http://www.ipol.im/pub/art/2017/176/
José Lezama, Gregory Randall, Jean-Michel Morel, and Rafael Grompone von
Gioi,
An Unsupervised Algorithm for Detecting Good Continuation in Dot Patterns,
Image Processing On Line, 7 (2017), pp. 81–92.
https://doi.org/10.5201/ipol.2017.176
Abstract
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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