Paper
22 May 2003 Vision system for auto-detection of cashmere pigmented fibers
Zhenwei Su, Abbas A. Dehghani, Liwei Zhang, Tim King, Barry Greenwood
Author Affiliations +
Proceedings Volume 5011, Machine Vision Applications in Industrial Inspection XI; (2003) https://doi.org/10.1117/12.474033
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States
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.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhenwei Su, Abbas A. Dehghani, Liwei Zhang, Tim King, and Barry Greenwood "Vision system for auto-detection of cashmere pigmented fibers", Proc. SPIE 5011, Machine Vision Applications in Industrial Inspection XI, (22 May 2003); https://doi.org/10.1117/12.474033
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Cited by 1 scholarly publication.
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KEYWORDS
Image processing

Computing systems

Image acquisition

Inspection

Scanners

Cameras

Machine vision

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