Abstract
Purchase PDF (3257 K)
E-mail Article
Add to my Quick Links
Cited By in Scopus (7)
Purchase PDF (693 K)
doi:10.1006/rtim.1996.0011 
Copyright © 1996 Academic Press Limited. All rights reserved.
Regular Paper
An Automatic Lace Trimming Process Using Real-Time Vision
References and further reading may be available for this article. To view references and further reading you must purchase this article.
Chi-Hsien Victor Shih, Nasser Sherkat and Peter Thomas
Available online 22 April 2002.
Abstract
This paper describes a computer vision-based system for automatic lace scalloping. The main problem other than scalloping path detection in real-time is that of coping with material flexibility. This problem varies depending on the material type and the complexity of the lace pattern. The vision system has to work with many different patterns and sizes of lace as well as tolerating misalignment. In order to satisfy industrial requirements two main conditions must be satisfied. To achieve a sufficient degree of automation, first, the river must be found without prior knowledge of the lace pattern being scalloped. A fuzzy reasoning rule-based technique is applied to overcome the problems of material distortion. Next, finding the river location across the lace strip must be carried out in real-time. To achieve this a novel approach called the Line Mapping Method (LMM) is devised to speed up the search for the river in subsequent frames. Several experiments have been carried out using lace patterns of varying complexity. All cutting paths across the patterns were correctly found. Experimental results indicate that the river path can be successfully detected in different lace patterns in real-time, while coping with lace distortion.
f1 E-mail: vsh@doc.ntu.ac.uk, E-mail: ns@doc.ntu.ac.uk, E-mail: pdt@doc.ntu.ac.uk
