A vision system for auto-detection of cashmere pigmented fibres

被引：0

作者：

Su, Z ^{[1
]}

Dehghani, AA ^{[1
]}

Zhang, L ^{[1
]}

King, T ^{[1
]}

Greenwood, B ^{[1
]}

机构：

[1] Univ Leeds, Sch Text & Design, Leeds LS2 9JT, W Yorkshire, England

来源：

MACHINE VISION APPLICATIONS IN INDUSTRIAL INSPECTION XI | 2003年 / 5011卷

关键词：

computer vision; image processing; cashmere fibre; algorithm; measurement;

D O I：

10.1117/12.474033

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：32 / 38

页数：7

共 8 条

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