Machine Vision Applications in Industrial Inspection XI 2003
DOI: 10.1117/12.474033
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Vision system for auto-detection of cashmere pigmented fibers

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 d… Show more

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Cited by 2 publications
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“…Figure 4b displays a pigmented virgin cashmere in which are clearly visible pigment granules unevenly distributed on the surface of the fiber. 35 The same pigment deposition in the fibers can be observed in recycled cashmere (Figure 4d), supporting the considerations already pointed out by the NIR analysis.…”
Section: ■ Results and Discussionsupporting
confidence: 85%
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“…Figure 4b displays a pigmented virgin cashmere in which are clearly visible pigment granules unevenly distributed on the surface of the fiber. 35 The same pigment deposition in the fibers can be observed in recycled cashmere (Figure 4d), supporting the considerations already pointed out by the NIR analysis.…”
Section: ■ Results and Discussionsupporting
confidence: 85%
“…Figure a depicts a white virgin cashmere with typical regular scale shape and frequency, and similar surface features can be observed in recycled cashmere (Figure c). Figure b displays a pigmented virgin cashmere in which are clearly visible pigment granules unevenly distributed on the surface of the fiber . The same pigment deposition in the fibers can be observed in recycled cashmere (Figure d), supporting the considerations already pointed out by the NIR analysis.…”
Section: Resultssupporting
confidence: 82%
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