Automatic colour printing inspection by image processing

Journal of Materials Processing Technology

Volumn 139, Issue 1-3 SPEC, 2003, Pages 373-378

  Luo, J ^a   Zhang, Z ^a  

^a UNIVERSITY OF EXETER   (United Kingdom)

Author keywords

Advanced manufacturing systems; Colour inspection; Computer vision; Industrial automation; Neural networks; Pattern recognition; Quality control

Indexed keywords

AUTOMATION; COMPUTER VISION; IMAGE PROCESSING; NEURAL NETWORKS; QUALITY CONTROL;

AUTOMATIC COLOR PRINTING;

COLOR PRINTING;

EID: 0038449846     PISSN: 09240136     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0924-0136(03)00534-X     Document Type: Article

References (20)

1. Fountain S.R., Tan T.N. Efficient rotation invariant texture features for content-based image retrieval. Pattern Recog. 31(11):1998;1725-1732.
2. Colombo C., Bimbo A.D. Colour-induced image representation and retrieval. Pattern Recog. 32:1999;1685-1695.
3. Drew M.S., Wei J., Li Z.N. Illumination-invariant image retrieval and video segmentation. Pattern Recog. 32:1999;1369-1388.
4. X.H. Yu, C. Sodergard, Y.J. Juha, On-line control of colour printing quality by image processing, in: Proceedings of the IEEE Region 10th Conference on Computer Communication Control Power Engineering, 1993, pp. 1039-1041.
5. Sodergard C., Launonen R., Aikas J. Inspection of colour printing quality. Int. J. Pattern Recog. Artif. Intell. 10(2):1996;115-128.
6. Mirmehdi M., West G.A., Dowling G.R. Label inspection using the Hough transform on transputer networks. J. Microprocess. Microsyst. 15(3):1991;167-173.
7. Swain M., Ballard D. Colour indexing. Int. J. Comput. Vision. 7:1991;11-32.
8. Wang Y.S., Griffiths B.J., Wilkie B.A. A novel system for coloured object recognition. Comput. Ind. 32:1996;69-77.
9. Forsyth D.A. A novel algorithm for colour constancy. Int. J. Comput. Vision. 5(1):1990;5-35.
10. B.V. Funt, M.S. Drew, Colour constancy computation in near-Mondrian scenes using a finite dimensional linear model, in: Computer Vision and Pattern Recognition Proc., IEEE Computer Society, 1988, pp. 544-549.
11. Funt B.V., Ho J. Colour from black and white. Int. J. Comput. Vision. 3:1989;109-117.
12. Funt B.V., Finlayson G.D. Colour constant colour indexing. IEEE Trans. Pattern Anal. Mach. Intell. 17(5):1995;522-529.
13. Barnard E., Holm J.E.W. A comparative study of optimisation techniques for backpropagation. Neurocomputing. 6:1994;19-34.
14. Pal N.R., Bezdek J.C., Tsao E.C.K. Generalised clustering networks and Kohonen's self-organising scheme. IEEE Trans. Neural Networks. 4(4):1993;549-557.
15. Healey G., Slater D. Global colour constancy: recognition of objects by use of illumination-invariant properties of colour distributions. J. Opt. Soc. Am. A. 11:1994;3003-3010.
16. C.L. Novak, S.A. Shafer, Supervised colour constancy using a colour chart, Technical Report CMU-CS-90-140, School of Computer Science, Camegie Mellon University, 1990.
17. G. Taubin, D. Cooper, Object recognition based on moment (or algebraic) invariants, in: J. Mundy, A. Zisserman (Eds.), Geometric Invariance in Computer Vision, MIT Press, Cambridge, 1992, pp. 375-397.
18. Picard R.W., Minka T.P. Vision texture for annotation. Multimedia Syst. 3:1995;3-14.
19. Healey G., Jain A. Retrieving multispectral satellite images using physics-based invariant representations. IEEE Trans. Pattern Anal. Mach. Intell. 18:1996;842-848.
20. J. Luo, Z. Zhang, H.S. Ismail, Computer vision for automated quality inspection of colour printing products, in: Proceedings of the 33rd International MATADOR Conference, 2000, pp. 287-292.