Automatic classification of seam pucker images based on ordinal quality grades
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition
Link
http://link.springer.com/content/pdf/10.1007/s10044-011-0241-y.pdf
Reference19 articles.
1. ISO 7770 (2009) Textiles—test method for assessing the smoothness appearance of seams in fabrics after cleansing
2. Fan J, Lu D, Macalpine JMK, Hui CLP (1999) Objective evaluation of pucker in three-dimensional garment seams. Textile Res J 69(7):467–472
3. Park CK, Kang TJ (1999) Objective evaluation of seam pucker using artificial intelligence. Part II: method of evaluating seam pucker. Textile Res J 69(11):835–845
4. Stylios G, Sotomi JO (1993) Investigation of seam pucker in lightweight synthetic fabrics as an aesthetic property. Part 1: a cognitive model for the measurement of seam pucker. J Textile Inst 84(4):593–600
5. Stylios G, Sotomi JO (1993) Investigation of seam pucker in lightweight synthetic fabrics as an aesthetic property. Part 2: model implementation using computer vision. J Textile Inst 84(4):601–610
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