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Proceedings Paper

Vision system for auto-detection of cashmere pigmented fibers
Author(s): Zhenwei Su; Abbas A. Dehghani; Liwei Zhang; Tim King; Barry Greenwood
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Paper Abstract

The traditional method for the evaluation of cashmere quality is subjective and low in accuracy. In this paper, a computer vision system is presented for the objective identification and classification of pigmented fibres, which consists of a web maker, an image acquisition system and a computer for image processing. The techniques of fibre preparation, image acquisition and the development of suitable algorithm together with software for removal of the background fibres and counting of pigmented fibres, are described in detail.

Paper Details

Date Published: 22 May 2003
PDF: 7 pages
Proc. SPIE 5011, Machine Vision Applications in Industrial Inspection XI, (22 May 2003); doi: 10.1117/12.474033
Show Author Affiliations
Zhenwei Su, Univ. of Leeds (United Kingdom)
Abbas A. Dehghani, Univ. of Leeds (United Kingdom)
Liwei Zhang, Univ. of Leeds (United Kingdom)
Tim King, Univ. of Leeds (United Kingdom)
Barry Greenwood, Univ. of Leeds (United Kingdom)

Published in SPIE Proceedings Vol. 5011:
Machine Vision Applications in Industrial Inspection XI
Martin A. Hunt; Jeffery R. Price, Editor(s)

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