A method for detection of foreign body  in cotton based on threshold segment

Tao Sha; Tingting Xie; Mengxue Wang; Chaoyu Yang

doi:10.1117/12.2032249

26 October 2013 A method for detection of foreign body in cotton based on threshold segment

Tao Sha, Tingting Xie, Mengxue Wang, Chaoyu Yang

Proceedings Volume 8921, MIPPR 2013: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 89211L (2013) https://doi.org/10.1117/12.2032249
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China

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.

Citation Download Citation

Tao Sha, Tingting Xie, Mengxue Wang, and Chaoyu Yang "A method for detection of foreign body in cotton based on threshold segment", Proc. SPIE 8921, MIPPR 2013: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 89211L (26 October 2013); https://doi.org/10.1117/12.2032249

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KEYWORDS

Image segmentation

Statistical analysis

Optical fibers

Image processing

Palladium

Image analysis

Lithium

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