Ant Colony Algorithm’s Application of Textile Monitoring Image Recognition

Yang Lie Fu; Shu Qian Chen; Li Hong Zhang

doi:10.4028/www.scientific.net/AMR.328-330.1701

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 328-330Ant Colony Algorithm’s Application of Textile...

Ant Colony Algorithm’s Application of Textile Monitoring Image Recognition

Abstract:

We can use video surveillance method to detection the weft in Glass fiber textile machine, avoids glass fiber weft bristling by contact weft detection sensor, Glass fiber dust damages to human health. Using Ant Colony algorithm of intelligent search, global optimization, robust, positive feedback, distributed computing, easy combination with other methods and other characteristics, resolve image segmentation, extraction monitor weft system in regional conditions, then use the default rule-based artificial intelligence reasoning in the region separately.

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Periodical:

Advanced Materials Research (Volumes 328-330)

Pages:

1701-1704

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.328-330.1701

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Online since:

September 2011

Authors:

Yang Lie Fu, Shu Qian Chen, Li Hong Zhang

Keywords:

Glass Fiber Textile, Image Recognition, Improved Algorithm, Neural Network (NN), Weft Detection

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