Automated assessment of textile seam quality based on surface roughness estimation

References

• Aibara , T. , Mabuchi , T. and Kenji , O. 1999 . Automatic evaluation of the appearance of seam puckers on suits 110 Proceedings SPIE, 3652
   Google Scholar
• Bahlmann , C. , Heidemann , G. and Ritter , H. 1999 . Artificial neural networks for automated quality control of textile seams . Pattern Recognition. , 32 : 1049 – 1060 .
   Web of Science ®Google Scholar
• Cohen , J. 1960 . A coefficient of agreement for nominal scales . Educational and Psychological Measurement. , 20 : 37 – 46 .
   Web of Science ®Google Scholar
• Cover , T. and Hart , P. 1967 . Nearest neighbor pattern classification . IEEE Transactions on Information Theory. , 13 : 21 – 27 .
   Web of Science ®Google Scholar
• 1981 . Textiles—method of test for evaluating the appearance of seams in durable press products after domestic washing and drying, Draft International Standard, ISO/DIS 7770
   Google Scholar
• Kang , T. J. , Kim , S. C. , Sul , I. H. , Youn , J. R. and Chung , K. 2005 . Fabric surface roughness evaluation using wavelet-fractal method, part 1: Wrinkle, smoothness, and seam pucker . Textile Research Journal. , 75 : 751 – 760 .
   Web of Science ®Google Scholar
• Koehl , L. , Miou , J. C. and Zeng , X. 2007 . “ Selecting relevant features from fabric images for automated quality control of seam puker using data analysis and human experts grading ” . In Computational textile , Edited by: Zeng , X. , Li , Y. , Ruan , D. and Koehl , L. 39 – 54 . Berlin/Heidelberg : Springer .
   Google Scholar
• Kohavi , R. 1995 . A study of cross-validation and bootstrap for accuracy estimation and model selection . Proceedings of the 14th International Joint Conference on Arificial Intelligence. , 2 : 1137 – 1143 .
   Google Scholar
• Krause , E. F. 1987 . Taxicab geometry , New York : Dover .
   Google Scholar
• Mariolis , I. G. and Dermatas , E. S. Automated quality control of textile seams based on puckering evaluation . 37th International Symposium on Novelties in Textiles . Ljubljana, Slovenia.
   Google Scholar
• Seber , G. A. F. 1984 . Multivariate observations , New York : Wiley .
   Google Scholar
• Spath , H. 1985 . Cluster dissection and analysis: Theory, Fortran programs, examples , Edited by: Goldschmidt , J. New York : Halsted Press .
   Google Scholar
• Witten , H. and Frank , E. 2005 . Data mining: Practical machine learning tools and techniques, , 2nd ed. , San Fransisco, CA : Elsevier Inc .
   Google Scholar
• Zaouali , R. , Msahli , S. , El Abed , B. and Sakli , F. 2007 . Objective evaluation of multidirectional fabric wrinkling using image analysis . Journal of the Textile Institute , 98 ( 5 ) : 443 – 452 .
   Web of Science ®Google Scholar