An Image-Based Processing of Wool Fiber Fineness Improved Measurement Methods

Wei Guo; Shi Hai Zhao; Xian Bao Wang

doi:10.4028/www.scientific.net/AMM.513-517.4223

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 513-517An Image-Based Processing of Wool Fiber Fineness...

An Image-Based Processing of Wool Fiber Fineness Improved Measurement Methods

Abstract:

Firstly, the development of a general image processing program , and the image processing program , select a certain number of wool fibers MATLAB2010 SEM images of image processing software platform programming experiment to achieve clear image contains a description of the fiber diameter index , and based on the processed in previous studies, the diameter of the image measurement method based on the improved measurement methods and a detailed description of the experiment show that the method can greatly improve the recognition accuracy of wool fibers .

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Periodical:

Applied Mechanics and Materials (Volumes 513-517)

Pages:

4223-4226

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.513-517.4223

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Online since:

February 2014

Authors:

Wei Guo*, Shi Hai Zhao, Xian Bao Wang

Keywords:

Feature Parameters Fineness of Wool, Image Processing, Textile

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* - Corresponding Author

References

[1] W A van Niekerk, etc. The accuracy of Video Imagine Analysis(VIA)and Optical Fiber diameter Analysis(OFDA) to measure fiber diameter of cashmere[J]. South African Journal of Animal Science, 2004(34): 143-144.

Google Scholar

[2] Olivier Cuisenaire, etc. Euclidean Distance Transformations by Propagation Using Multiple Neighborhoods J]. Computer Vision and Image Understanding, l999, 76(2)：163-l72.

DOI: 10.1006/cviu.1999.0783

Google Scholar

[3] Paluzzi S, Mormino M, Vineis C, et al. Anti-keratin mono-clonal antibodies for identifying animal hair fibers[J]. Tex-tile Research Journal, 2004, 74: 458-464.

DOI: 10.1177/004051750407400513

Google Scholar

[4] Subramanian S, Karthikb T, Vijayaraaghavab N N. Singlenucleotide polymorphism for animal fiber identification[J]. Journal of Biotechnology, 2005, 116(2): 153-158.

Google Scholar

[5] Xu B and Ting Y L. Fiber image analysis. Part 2: Measurement ofgeneral geometric properties of fiber[J].J. Test. Inst., 1996, 87(3): 284-295.

Google Scholar

[6] Zhang T Y, Suen C Y. A fast parallel algorithm for thinning digital patterns [J]. Comm ACM, 1984, 27：236-239.

DOI: 10.1145/357994.358023

Google Scholar