Abstract
Owing to the property of binary output it has a very important in identification of image processing in cellular neural networks (CNN). Warp and weft interlacing points of fabric image will be expressed as images of binary property in the paper. Adopting cellular neural network it makes a cellular element a warp interlacing point or a weft interlacing point, and calculates the relation of cellular element and neighbor cellular element, then it can identify the weave structure of fabric. It has made identification of weave structure on three original fabric weave contained plain weave, twill weave and satin weave, and obtained better result.
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Liu, S., Wan, Q., Zhang, H. (2009). Fabric Weave Identification Based on Cellular Neural Network. In: Wang, H., Shen, Y., Huang, T., Zeng, Z. (eds) The Sixth International Symposium on Neural Networks (ISNN 2009). Advances in Intelligent and Soft Computing, vol 56. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01216-7_59
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DOI: https://doi.org/10.1007/978-3-642-01216-7_59
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-01215-0
Online ISBN: 978-3-642-01216-7
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