Meaningful Scales Detection: an Unsupervised Noise Detection Algorithm for Digital Contours

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.

Bibliographic Details
Main Authors: Bertrand Kerautret, Jacques-Olivier Lachaud
Format: Article
Language:English
Published: Image Processing On Line 2014-05-01
Series:Image Processing On Line
Online Access:http://www.ipol.im/pub/art/2014/75/