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Fabric pilling measurement using three-dimensional image

[+] Author Affiliations
Wenbin Ouyang

University of Texas at Austin, School of Human Ecology, 200 W. 24th Street, Austin, Texas 78712

Rongwu Wang

Donghua University, College of Textiles, Room 4020, 2999 North Renmin Road, Songjiang District, Shanghai 201620, China

Bugao Xu

University of Texas at Austin, School of Human Ecology, 200 W. 24th Street, Austin, Texas 78712

Donghua University, College of Textiles, Room 4020, 2999 North Renmin Road, Songjiang District, Shanghai 201620, China

J. Electron. Imaging. 22(4), 043031 (Dec 18, 2013). doi:10.1117/1.JEI.22.4.043031
History: Received August 22, 2013; Revised October 22, 2013; Accepted October 24, 2013
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Abstract.  We introduce a stereovision system and the three-dimensional (3-D) image analysis algorithms for fabric pilling measurement. Based on the depth information available in the 3-D image, the pilling detection process starts from the seed searching at local depth maxima to the region growing around the selected seeds using both depth and distance criteria. After the pilling detection, the density, height, and area of individual pills in the image can be extracted to describe the pilling appearance. According to the multivariate regression analysis on the 3-D images of 30 cotton fabrics treated by the random-tumble and home-laundering machines, the pilling grade is highly correlated with the pilling density (R2=0.923) but does not consistently change with the pilling height and area. The pilling densities measured from the 3-D images also correlate well with those counted manually from the samples (R2=0.985).

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Citation

Wenbin Ouyang ; Rongwu Wang and Bugao Xu
"Fabric pilling measurement using three-dimensional image", J. Electron. Imaging. 22(4), 043031 (Dec 18, 2013). ; http://dx.doi.org/10.1117/1.JEI.22.4.043031


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