DocumentCode :
391761
Title :
Automatic assessment of fabric smoothness
Author :
Turner, Chris ; Sari-Sarraf, H. ; Zhu, Aijun ; Hequet, Eric ; Lee, Sunho
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas Tech. Univ., Lubbock, TX, USA
Volume :
2
fYear :
2002
fDate :
4-7 Aug. 2002
Abstract :
Due to its direct impact on the aesthetic appeal of apparels, a fabric´s propensity to wrinkle is one of its most important characteristics. As such, access to a quantitative method of assessing fabric smoothness is of the utmost importance to the textile community. In this paper, we describe a vision system for measuring fabric smoothness in terms of its image acquisition and analysis modules. The acquisition module is a laser-based surface profiling system that utilizes a smart camera to sense the 3-D topography of the fabric specimens. The image analysis module is comprised of methods based on anisotropic diffusion and the facet model for characterizing the different edge information that ultimately relate to a specimen´s degree of wrinkling. Promising preliminary results are included.
Keywords :
computer vision; edge detection; measurement by laser beam; surface topography measurement; textile industry; 3D topography measurement; anisotropic diffusion; apparel aesthetics; automatic assessment; edge detection; fabric smoothness; facet model; image acquisition; image analysis; laser surface profiling; smart camera; textile industry; vision system; wrinkle detection; Anisotropic magnetoresistance; Fabrics; Image analysis; Image edge detection; Laser modes; Machine vision; Smart cameras; Surface emitting lasers; Surface topography; Textiles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2002. MWSCAS-2002. The 2002 45th Midwest Symposium on
Print_ISBN :
0-7803-7523-8
Type :
conf
DOI :
10.1109/MWSCAS.2002.1186877
Filename :
1186877
Link To Document :
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