[IPOL announce] new article: Meaningful Scales Detection: an Unsupervised Noise Detection Algorithm for Digital Contours

[announcements about the IPOL journal]

A new article is available in IPOL: http://www.ipol.im/pub/art/2014/75/

Bertrand Kerautret and Jacques-Olivier Lachaud,
Meaningful Scales Detection: an Unsupervised Noise Detection Algorithm 
for Digital Contours,
Image Processing On Line, 4 (2014), pp. 98–115.
http://dx.doi.org/10.5201/ipol.2014.75

Abstract
This work presents an algorithm which permits to detect locally on 
digital contour what is the amount of noise estimated from a given 
maximal scale. The method is based on the asymptotic properties of the 
length of the maximal segment primitive.