Applying Pattern Recognition Principles to Grading Textile Yarns

Textile Research Journal

Volumn 72, Issue 4, 2002, Pages 320-326

  Lien, Hsin Chung ^a   Lee, Shyong ^b  

^a TECHNOLOGY AND SCIENCE INSTITUTE OF NORTHERN TAIWAN   (Taiwan)

^b NATIONAL CENTRAL UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

GRADING; PATTERN RECOGNITION; YARN;

TRANSFER MATRIX;

TEXTILES;

CLASSIFICATION; MATHEMATICAL ANALYSIS; PATTERNS; QUALITY CONTROL; TEXTILE INDUSTRY; YARN PROPERTY;

EID: 0036539320     PISSN: 00405175     EISSN: None     Source Type: Journal    
DOI: 10.1177/004051750207200408     Document Type: Article

References (15)

1. ASTM D2255-96, Standard Test Method for Grading Spun Yarns for Appearance, ASTM Annual Book, 1999.
2. Balakrishnan, H., Venkatarman, S., and Jayaraman, S., Fdics: A Vision-based System for the Identification and Classification of Fabric, J. Textile. Inst. 89 (2). 365-380 (1998).
3. Chen, Y., and Collier, B.J., Characterizing Fabric End-Use by Fabric Physical Properties, Textile Res. J. 67 (4), 247-252 (1997).
4. Cheng, L., and Adams, D.L., Yarn Strength Prediction Using Neural Networks, Part I: Fiber Properties and Yarn Strength Relationship, Textile Res. J. 65 (9), 495-500 (1995).
5. Devijer, P.A., and Kittler, J., “Pattern Recognition: A Statistical Approach,” Prentice-Hall, NY, 1982.
6. Fan, K.C., and Wang, Y.K., Fabric Classification Based on Recognition Using a Neural Network and Dimensionality Reduction, Textile Res. J. 68 (3), 179-185 (1998).
7. Kawabata, S., “The Standardization and Analysis of Hand Evaluation,” HESC, 2nd ed., Textile Machinery Society of Japan, Osaka, 1980.
8. Kawabata, S., and Niwa, M., Fabric Performance in Clothing and Clothing Manufacture, J. Textile Inst. 80 (1), 19-50 (1989).
9. Lawson-Hemphill Inc., The Electronic Inspection Board Operator's Manual, Doc 481-100, USA, 1995.
10. Park, C.K., and Kang. T.J., Objective Rating of Seam Pucker Using Neural Networks, Textile Res. J. 67 (7), 494-502 (1997).
11. Rong, G.H., Slater, K.L., and Fei, R.C., The Use of Cluster Analysis for Grading Textile Yarns, J. Textile Inst. 85 (3), 389-396 (1994).
12. Sette, S., Boullart, L., Van Langenhov, L., and Kiekens, P., Optimizing the Fiber-to-Yarn Production Process with a Combined Neural Network/Genetic Algorithm Approach, Textile Res. J. 67 (2), 84-92 (1997).
13. State Standard Bureau, P.R.C. Standard: Combed Polyester and Cotton Blended Yarns, 1985.
14. Tou, J.T., and Heydorn, P.R., Some Approaches to Optimum Feature Extraction, in “Computer and Information Sciences—II,” Academic Press, NY, 1967.
15. Tou, J.T., and Gonzalez, R.C., “Pattern Recognition Principles,” Addison-Wesley, Reading, MA, 1974.