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Proceedings Paper

Identification of white contaminants and their removal from wool fibers
Author(s): Liwei Zhang; Abbas A. Dehghani; Zhenwei Su; Tim King; Barry Greenwood
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Paper Abstract

This paper describes the research approach to identify the contaminants which have similar color to the background wool and their removal from wool in real time. First, different light source is sought for getting the high contrast image between wool and contaminants. Second, different CCD detector including infrared camera, monochrome area scan camera was tried for identification of white contaminants. Relative infrared theory and spectral theory are also presented. Third, different image processing algorithms including threshold in HSV color space, local adaptive threshold, region-growing algorithm and their comparisons are presented. The combination of local adaptive threshold and global threshold algorithms can well identify most of white contaminants. At last, a research approach on contaminant removal from wool by the image processing algorithm in real time is presented. Both software and hardware approach are reported.

Paper Details

Date Published: 22 May 2003
PDF: 10 pages
Proc. SPIE 5011, Machine Vision Applications in Industrial Inspection XI, (22 May 2003); doi: 10.1117/12.474038
Show Author Affiliations
Liwei Zhang, Univ. of Leeds (United Kingdom)
Abbas A. Dehghani, Univ. of Leeds (United Kingdom)
Zhenwei Su, 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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