English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/29716
Share/Impact:
Statistics
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:

Title

Detection of local defects in textile webs using Gabor filters

AuthorsEscofet Soteras, Jaume; Navarro, Rafael; Millán García-Varela, María Sagrario; Pladellorens, Josep
Issue DateAug-1998
PublisherThe International Society for Optics and Photonics
CitationOptical Engineering 37(8): 2297-2307 (1998)
AbstractA method of image analysis is proposed for detection of local defects in materials with periodic regular texture. A general improvement and enlargement of vision system capabilities for versatility, full automatism, computational efficiency, and robustness in their application to the industrial inspection of periodic textured materials is pursued. In the proposed method, a multiscale and multiorientation Gabor filter scheme that imitates the early human vision process is applied to the sample under inspection. The designed algorithm automatically segments defects from the regular texture. A variety of examples of fabric inspection are presented. In all of them defects are successfully segmented from the texture background.
DescriptionContiene fórmulas y gráficos
Publisher version (URL)http://dx.doi.org/10.1117/1.601751
URIhttp://hdl.handle.net/10261/29716
DOI10.1117/1.601751
E-ISSN0091-3286
Appears in Collections:(ICMA) Artículos
(CFMAC-IO) Artículos
Files in This Item:
File Description SizeFormat 
DOI 10.1117 1.601751.pdf1,43 MBAdobe PDFThumbnail
View/Open
Show full item record
Review this work
 

Related articles:


WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.