Detection of noncircularity and eccentricity of a rolling winder by artificial vision

被引：6

作者：

Doignon, C ^{[1
]}

Knittel, D ^{[1
]}

机构：

[1] UMR CNRS 7005, Equipe Rech Technol Enroulement, Lab Sci Image Informat & Teledetect, F-67400 Illkirch Graffenstaden, France

来源：

EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING | 2002年 / 2002卷 / 07期

关键词：

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

D O I：

10.1155/S111086570220308X

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：714 / 727

页数：14