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Rapid classification of textile fabrics arranged in piles

 
: Siegmund, Dirk; Kähm, Olga; Handtke, David

:

Callegari, Christian (Ed.) ; Institute for Systems and Technologies of Information, Control and Communication -INSTICC-, Setubal:
13th International Joint Conference on e-Business and Telecommunications, ICETE 2016. Proceedings. Vol.5 : July 26-28, 2016, in Lisbon, Portugal
SciTePress, 2016
ISBN: 978-989-758-196-0
pp.99-105
International Joint Conference on e-Business and Telecommunications (ICETE) <13, 2016, Lisbon>
English
Conference Paper
Fraunhofer IGD ()
quality assurance; pattern recognition; classification methods; classification performance; fabrics; defect detection; Guiding Theme: Digitized Work; Research Area: Computer vision (CV)

Abstract
Research on the quality assurance of textiles has been a subject of much interest, particularly in relation to defect detection and the classification of woven fibers. Known systems require the fabric to be flat and spread-out on 2D surfaces in order for it to be classified. Unlike other systems, this system is able to classify textiles when they are presented in piles and in assembly-line like environments. Technical approaches have been selected under the aspects of speed and accuracy using 2D camera image data. A patch-based solution was chosen using an entropy-based pre-selection of small image patches. Interest points as well as texture descriptors combined with principle component analysis were part of this evaluation. The results showed that a classification of image patches resulted in less computational cost but reduced accuracy by 3.67%.

: http://publica.fraunhofer.de/documents/N-414984.html