Robust and efficient cotton contamination detection method based on HSI color space

被引：9

作者：

Gao, Wei ^{[1
]}

Wang, Zhi-Heng ^{[1
]}

Zhao, Xun-Po ^{[1
]}

Sun, Feng-Mei ^{[2
]}

机构：

[1] National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences

[2] Faculty of Sciences, North China University of Technology

来源：

Zidonghua Xuebao/Acta Automatica Sinica | 2008年 / 34卷 / 07期

关键词：

Cotton contamination; HSI color space; Look up table; Motion compensation;

D O I：

10.3724/SP.J.1004.2008.00729

中图分类号：

学科分类号：

摘要：

Efficient detection and separation of cotton contamination is important for controlling the quality of cotton. A robust and efficient method of detecting the contamination in cotton is proposed. In this method, 3D-LUT is used to reduce the time of transformation between different color spaces. Cotton contamination is detected based on the discrimination of hue and saturation in HSI color space between cotton fibers and cotton contamination. Color motion compensation is used to improve the spatial correction and reduce the wrong recognition rate. The experiments show that our system can complete the total process of image capturing, format transformation and impurities identification in 10 ms. Under a velocity of the cotton at 18 m/s, the recognition rate can reach as high as 95.4% with an impurity size of 2 × 2 mm2.

引用

页码：729 / 735

页数：6

共 6 条

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[2]

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[3]

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[4]

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[5]

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[6]

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