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Proceedings Paper

A method for detection of foreign body in cotton based on threshold segment
Author(s): Tao Sha; Tingting Xie; Mengxue Wang; Chaoyu Yang
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Paper Abstract

In order to extract foreign body from the complex channel background and cotton layers, a detection method which combined improved Otsu threshold with background estimation threshold is presented. Firstly, the original image which containing multiple foreign fibers is divided into two new images which containing only two substances by Otsu threshold. And then using the estimated value of the means and the standard deviations of the two new images a background estimation threshold was determined. The foreign fibers are extracted by the estimation threshold. Simulation results show that this method can overcome the effect which caused by the channel background interference and diversity of the foreign fibers in the actual working environment and can extract foreign bodies quickly and effectively.

Paper Details

Date Published: 26 October 2013
PDF: 6 pages
Proc. SPIE 8921, MIPPR 2013: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 89211L (26 October 2013); doi: 10.1117/12.2032249
Show Author Affiliations
Tao Sha, Nanjing Univ. of Science and Technology (China)
Tingting Xie, China Electronics Technology Information Industry Corp. (China)
Mengxue Wang, Nanjing Univ. of Science and Technology (China)
Chaoyu Yang, Nanjing Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 8921:
MIPPR 2013: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications
Jinwen Tian; Jie Ma, Editor(s)

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