Open Access

Detection of Noncircularity and Eccentricity of a Rolling Winder by Artificial Vision

EURASIP Journal on Advances in Signal Processing20022002:497390

DOI: 10.1155/S111086570220308X

Received: 31 July 2001

Published: 24 July 2002

Abstract

A common objective in the web transport industry is to increase the velocity as much as possible. Some disturbances drastically limit this velocity. Time-varying eccentricity of the rolling winder is one of the major disturbances which affect the quality of the rolling winder. This unsuitable factor can lead to a web break for a high-speed winding process. The main contribution of this work is to offer a new measurement technique that is able to provide on-line the estimation of the roll radius and its variations with a subpixel accuracy. A key feature within this work is the contour curvature classification by means of wavelets decomposition of the edge orientation function. We also propose a new model accounting for the increasing radius of the rolling winder, which confirms the experimental results and the reliability of the proposed approach.

Keywords

shape-preserved filtering curvature analysis wavelets decomposition contours classification ellipse fitting pose from ellipse

Authors’ Affiliations

(1)
Laboratoire des Sciences de l'Image, de l'Informatique et de la Télédétection, UMR CNRS 7005, Équipe de Recherche Technologique en Enroulement-ERT n° 8

Copyright

© Doignon and Knittel 2002