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

• Main Authors: Doignon Christophe, Knittel Dominique
• Format: Article
• Language: English
• Published: SpringerOpen 2002-01-01
• Series: EURASIP Journal on Advances in Signal Processing
• Subjects: shape-preserved filtering; curvature analysis; wavelets decomposition; contours classification; ellipse fitting; pose from ellipse
• Online Access: http://dx.doi.org/10.1155/S111086570220308X

<p/> <p>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.</p>