Study on Thread Foreign Matter Separation Key Technology Based on Intelligent Method

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Abstract:

Efficient separation of cotton foreign fiber is an important and difficult task in spinning industry. For the main problems of foreign matter separator, This paper proposes cotton foreign fiber detection arithmetic based on multi-scale wavelet transform and fuzzy methods. Firstly, the image is executed through multi-scale wavelet transform in order to detect the line edge of foreign fiber. Then the size of line edge is mapped to membership space. The line edge recognition is carried out through compares the sum of all memberships with threshold value. This method can restrain the interference of cotton image texture. The practice proves this arithmetic meets the need of industry.

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Periodical:

Advanced Materials Research (Volumes 562-564)

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2101-2105

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Online since:

August 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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