Detection of Noncircularity and Eccentricity of a Rolling Winder by Artificial Vision
<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. Th...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2002-01-01
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Series: | EURASIP Journal on Advances in Signal Processing |
Subjects: | |
Online Access: | http://dx.doi.org/10.1155/S111086570220308X |
Summary: | <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> |
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ISSN: | 1687-6172 1687-6180 |