Improved Minimum Distance Discrimination Method Used in Image Analysis of Fabric Wear Resistance

Jian Xia Su; Run Ping Han; Li Min Shi; Xing He Qian

doi:10.4028/www.scientific.net/AMM.263-266.421

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 263-266Improved Minimum Distance Discrimination Method...

Improved Minimum Distance Discrimination Method Used in Image Analysis of Fabric Wear Resistance

Abstract:

With the increasing attention of textile, the wear resistance of the fabric is more and more important today. The wear resistance is judged by the sample and standard sample according to sensory contrast complete, but this approach has repeated poor consistency. The subjective factors of testers influence the result heavily. So the powerful image processing tools of MATLAB was used in the analysis of fabrics image processing. By image read, display and interception, image preprocessing, and feature extraction value, the eigenvalues of total area of the hair bulb, maximum area of the hair bulb, and hair bulb number were obtained. After the improved minimum distance discrimination method was used to determine the level of wear resistance by computer. Tests show that fabrics wear resistance level can be judged quickly, accurately and automatically.

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Periodical:

Applied Mechanics and Materials (Volumes 263-266)

Pages:

421-426

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.263-266.421

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Online since:

December 2012

Authors:

Jian Xia Su, Run Ping Han, Li Min Shi, Xing He Qian

Keywords:

Image Process, Level, MATLAB, Wear Resistance

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References

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