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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Vydané v:	The Visual computer Ročník 40; číslo 5; s. 3591 - 3599
Hlavní autori:	Deng, Zhongmin, Yu, Ling, Wang, Lijing, Ke, Wei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin/Heidelberg Springer Berlin Heidelberg 01.05.2024 Springer Nature B.V
Predmet:	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
On-line prístup:	Získať plný text
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