An algorithm for cross-fiber separation in yarn hairiness image processing

Yarn hairiness affects yarn and fabric quality. The existing hairiness detection methods cannot discriminate crossover fibers or hairs. In order to accurately separate and detect crossover fibers, an algorithm of separating crossover hairs is proposed. By obtaining refined hair skeletons after image...

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Bibliographic Details
Published in:	The Visual computer Vol. 40; no. 5; pp. 3591 - 3599
Main Authors:	Deng, Zhongmin, Yu, Ling, Wang, Lijing, Ke, Wei
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01.05.2024 Springer Nature B.V
Subjects:	Algorithms Artificial Intelligence Computer Graphics Computer Science Crossovers Hair Image processing Image Processing and Computer Vision Methods Morphology Neighborhoods Original Article Photoelectricity Separation Yarn Yarns Cross-fiber separation Image processing algorithm Hairiness information table Yarn hairiness measurement
ISSN:	0178-2789, 1432-2315
Online Access:	Get full text
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