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Proceedings Paper

Morphological segmentation and digital image processing to retrieve geometric characteristics of fabric filaments
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Paper Abstract

An image processing algorithm, mainly based on morphological enhancement and segmentation, is developed and applied to optical microscope images of transverse cuts of fabric filaments, to retrieve useful shape characteristics. Adaptive filtering and non-linear fitting algorithms are also applied. Computer generated noisy images are used to estimate the algorithm accuracy with excellent results. This algorithm is a significant improvement over the current human-based inspection method for filament shape analysis, and its development and application will improve quality control in textile industry. The complete procedure is outlined in the present work, showing relevant results and pointing out pertinent restrictions.

Paper Details

Date Published: 1 March 2005
PDF: 8 pages
Proc. SPIE 5672, Image Processing: Algorithms and Systems IV, (1 March 2005); doi: 10.1117/12.586058
Show Author Affiliations
Manuel Guizar-Sicairos, Tecnologico de Monterrey (Mexico)
Raul Hernandez-Aranda, Tecnologico de Monterrey (Mexico)
Ibrahim Serroukh, Tecnologico de Monterrey (Mexico)
Alfonso Serrano-Heredia, Tecnologico de Monterrey (Mexico)

Published in SPIE Proceedings Vol. 5672:
Image Processing: Algorithms and Systems IV
Edward R. Dougherty; Jaakko T. Astola; Karen O. Egiazarian, Editor(s)

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