[IPOL announce] new article: An Unsupervised Algorithm for Detecting Good Continuation in Dot Patterns

[announcements about the IPOL journal]

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.