A New Measurement System of Yarn Appearance Based on Machine Vision

Jun Juan Li; Chen Wang; Wen Xiao Tu; Bao Qi Zuo

doi:10.4028/www.scientific.net/AMR.945-949.1810

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 945-949A New Measurement System of Yarn Appearance Based...

A New Measurement System of Yarn Appearance Based on Machine Vision

Abstract:

In this paper, a new yarn appearance measurement system based on machine vision is introduced. The yarn images are continuously captured by image acquisition system. To extract the main body of the yarn accurately, the yarn images are processed sequentially with threshold segmentation and morphological opening operation. Then the coefficient of variation (CV value) of diameter is calculated to characterize the yarn evenness. The measurement process achieves result (CV value) which can be compared with USTER evenness tester by image processing techniques. By comparing different methods which use different algorithms, a suitable method is chosen to be used in this new measurement system. Then a more accurate, more efficient and faster measurement system will meet requirements in the future.

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Periodical:

Advanced Materials Research (Volumes 945-949)

Pages:

1810-1814

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.945-949.1810

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Online since:

June 2014

Authors:

Jun Juan Li*, Chen Wang, Wen Xiao Tu, Bao Qi Zuo

Keywords:

Image Processing, Machine Vision, Pictorial Indexes, Yarn Evenness

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* - Corresponding Author

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