The recycling of wool clothes: An artificial neural network colour classification tool

International Journal of Advanced Manufacturing Technology

Volumn 37, Issue 7-8, 2008, Pages 722-731

  Furferi, Rocco ^a   Governi, Lapo ^a  

^a UNIVERSITY OF FLORENCE   (Italy)

Author keywords

Colour; Neural networks; Picking; Recycling; Spectrophotometry

Indexed keywords

COLOR; FABRICS; MATRIX ALGEBRA; NEURAL NETWORKS; RECYCLING; SPECTROPHOTOMETRY; STATISTICAL METHODS;

COLOUR CLASSIFICATION TOOLS; PICKING;

WOOL;

EID: 42649124990     PISSN: 02683768     EISSN: 14333015     Source Type: Journal    
DOI: 10.1007/s00170-007-1011-2     Document Type: Article

References (16)

1. Barnard K, Martin L, Funt BV (2000) Colour by correlation in a three dimensional colour space. 6th European Conference on Computer Vision 2000 pp 275-289
2. Pérez E, Millán MS (1997) Adaptive channel selection for improving chromatic discrimination in colour pattern recognition. Opt Commun 134(1-6): Elsevier Science BV, 273-280
3. Luo MR (2006) Applying colour science in colour design, Optics & Laser Technology,38 (4-6). Colour and Design in the natural and man-made worlds. 392-398
4. Pellerin C (1997) Machine vision in experimental poultry inspection. NDT & E International 30(5): Elsevier Science BV 331
5. Rich DC, Martin D (1999) Improved model for improving the inter-instrument agreement of spectrocolorimeters. Analytica Chimica Acta 380(2-3): 263-276
6. Cheng HD, Jiang XH, Sun Y, Wang J (2001) Color image segmentation: advances and prospects. Pattern Recognition 34(12) 2259-2281
7. Sangole A, Knopf GK (2003) Visualization of randomly ordered numeric data sets using spherical self-organizing feature maps. Computers & Graphics 27(6) 963-976
8. Bishop CM (1995) Neural Networks for Pattern Recognition. New York: Oxford University Press Inc
9. Waszczyszyn Z (1999) Introduction to Artificial Neural Networks and their applications in structural engineering. Lectures delivered at the Civil Engineering Faculty, University of Florence, Italy
10. Kohonen T (1987) Self-Organization and Associative Memory. Springer, Berlin Heidelberg New York
11. Marsland S, Shapiro J, Nehmzow U (2002) A self-organising network that grows when required. Neural Networks 15(8-9) 1041-1058
12. Basheer IA, Hajmeer M (2000) Artificial neural networks: fundamentals, computing, design, and application. J Microbiol Methods 43(1) 3-31
13. Egmont-Petersen M, Ridder D, Handels H (2002) Image processing with neural networks-a review. Pattern Recognition 35(10) 2279-2301
14. Ripley BD (1996) Pattern Recognition and Neural Network. Cambridge: Cambridge University Press
15. Papadokonstantakis S, Lygeros A, Jacobsson SP (2006) Comparison of recent methods for inference of variable influence in neural networks. Neural Networks 19(4) 500-513
16. Davis P (1993) Levenberg-Marquart Methods and Nonlinear Estimation. SIAM News 26(6)