A binary neural shape matcher using Johnson Counters and chain codes

Neurocomputing

Volumn 72, Issue 4-6, 2009, Pages 693-703

  Hodge, Victoria J ^a   O'Keefe, Simon ^a   Austin, Jim ^a  

^a UNIVERSITY OF YORK   (United Kingdom)

Author keywords

Associative memory; Binary encoding; Figurative image retrieval; Neural; Shape matcher

Indexed keywords

ASSOCIATIVE MEMORY; BINARY ENCODING; FIGURATIVE IMAGE RETRIEVAL; NEURAL; SHAPE MATCHER;

ASSOCIATIVE PROCESSING; CODES (SYMBOLS); ENCODING (SYMBOLS); IMAGE ENHANCEMENT; IMAGE RETRIEVAL; INFORMATION RETRIEVAL;

NEURAL NETWORKS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; ASSOCIATIVE MEMORY; COMPUTER MEMORY; CONTROLLED STUDY; IMAGE PROCESSING; PATTERN RECOGNITION; PRIORITY JOURNAL; STATISTICAL ANALYSIS;

EID: 58149475965     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2008.07.013     Document Type: Article

References (35)

1. Eakins J.P. Trademark image retrieval-a survey. In: Lew M. (Ed). Multimedia Storage and Retrieval Techniques-State of the Art (2000), Springer, Berlin
2. J.P. Eakins, K.J. Riley, J.D. Edwards, Shape feature matching for trademark image retrieval, in: Image and Video Retrieval: Second International Conference, CIVR 2003, Lecture Notes in Computer Application, vol. 2728, January 2003, pp. 28-38.
3. Hu M.-K. Visual pattern recognition by moment invariants. IRE Transactions on Information Theory IT-8 (1962) 179-187
4. A. Mojsilovic, J. Gomes, B.I. Rogowitz, Perceptual features for image library navigation, in: Proceedings of the 2002 SPIE Human Vision and Electronic Imaging.
5. Biederman I., Subramaniam S., Bar M., Kalocsai P., and Fiser J. Subordinate-level object classification re-examined. Psychological Research 62 (1999) 131-153
6. J.K. Wu, B.M. Mehtre, Y.J. Gao, C.P. Lam, A.D. Narasimhalu, STAR-a multimedia database system for trademark registration, in: First International Conference on Applications of Databases (ADB-94), Sweden, June 1994, pp. 109-122.
7. T.P.G.L.S. Alwis, Content-based retrieval of trademark images, Ph.D. Thesis, University of York, February 2000.
8. Peng H.L., and Chen S.Y. Trademark shape recognition using closed contours. Pattern Recognition Letters 18 (1997) 791-803
9. J. Austin, Distributed associative memories for high speed symbolic reasoning, in: IJCAI Working Notes of Workshop on Connectionist-Symbolic Integration: From Unified to Hybrid Approaches, 1995, pp. 87-93.
10. Kato Y., Hirano T., and Nakamura O. Fast template matching algorithm for contour images based on its chain coded description applied for human face identification. Pattern Recognition 40 6 (2007) 1646-1659
11. Mehtre B., Kankanhalli M., and Lee W. Shape measures for content based image retrieval: a comparison. Information Processing & Management 33 3 (1997) 319-337
12. A. Sajjanhar, G. Lu, A comparison of techniques for shape retrieval, in: International Conference on Computational Intelligence and Multimedia Applications, 9-11 February 1998, pp. 854-859.
13. Sánchez-Cruz H., Bribiesca E., and Rodríguez-Dagnino R.M. Efficiency of chain codes to represent binary objects. Pattern Recognition 40 6 (2007) 1660-1674
14. Shih J.-L., and Chen L.-H. A new system for trademark segmentation and retrieval. Image and Vision Computing 19 13 (2001) 1011-1018
15. Sajjanhar A., and Lu G. A grid based shape indexing and retrieval method. Australian Computer Journal on Multimedia Storage and Archiving Systems 29 4 (1997) 131-140 (special issue)
16. Hodge V., and Austin J. A binary neural k-nearest neighbour technique. Knowledge and Information Systems 8 3 (2005) 276-292
17. Canny J.F. A computational approach to edge detection. IEEE Transactions on Pattern Analysis and Machine Intelligence 8 (1986) 679-698
18. Gonzalez R.C., and Woods R.E. Digital Image Processing. second ed. (2002), Prentice-Hall, Englewood Cliffs, NJ
19. Foley J., van Dam A., Feiner S., and Hughes J. Computer Graphics: Principles and Practice. second ed. (1995), Addison-Wesley, Reading, MA. 0-201-84840-6
20. V. Hodge, G. Hollier, J. Austin, J. Eakins, Identifying perceptual structures in trademark images, in: Fifth IASTED International Conference on Signal Processing, Pattern Recognition, and Applications (SPPRA 2008), February 13-15, Innsbruck, Austria, 2008.
21. Jain A.K. Fundamentals of Digital Image Processing (1989), Prentice-Hall, Englewood Cliffs, NJ
22. A. Koschan, Comparative study on color edge detection, in: Proceedings of Second Asian Conference on Computer Vision ACCV′95, Singapore, December 1995, vol. III, pp. 574-578.
23. Mano M. Digital Design. third ed. (2002), Prentice-Hall, Englewood Cliffs, NJ. 0130621218
24. W.W. Bledsoe, I. Browning, Pattern recognition and reading by machine, in: Proceedings of Eastern Joint Computer Conference, 1959, pp. 225-231.
25. I. Aleksander, R.C. Albrow, Pattern recognition with adaptive logic elements, in: IEE Conference on Pattern Recognition, 1968, pp. 68-74.
26. Aleksander I., Thomas W.V., and Bowden P.A.W. A radical step forward in image recognition. Sensor Review (1984) 120-124
27. M. Weeks, M. Freeman, A. Moulds, J. Austin, Developing hardware-based applications using PRESENCE-2, Perspectives in Pervasive Computing 2005, 25th October 2005 at the IEE, Savoy Place, London.
28. V. Hodge, Integrating information retrieval and neural networks, Ph.D. Thesis, Department of Computer Science, The University of York, 2001.
29. J. Austin, J. Kennedy, K. Lees, A neural architecture for fast rule matching, in: Artificial Neural Networks and Expert Systems Conference (ANNES'95), Dunedin, New Zealand, 1995.
30. A. Turner, J. Austin, Performance evaluation of a fast chemical structure matching method using distributed neural relaxation, in: Fourth International conference on Knowledge Based Intelligent Engineering Systems, 2000.
31. Hodge V., and Austin J. An evaluation of standard retrieval algorithms and a binary neural approach. Neural Networks 14 3 (2001) 287-303
32. Lu G. An approach to image retrieval based on shape. Journal of Information Science 23 2 (1997) 119-127
33. L. Latecki, R. Lakamper, U. Eckhardt, Shape descriptors for nonrigid shapes with a single closed contour, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2000, pp. 424-429.
34. Yin P., and Yeh C. Content-based retrieval from trademark databases. Pattern Recognition Letters 23 1-3 (2002) 113-126
35. Levine M.D. Vision in Man and Machine (1985), McGraw-Hill, New York