Trademark image retrieval using synthetic features for describing global shape and interior structure

Pattern Recognition

Volumn 42, Issue 3, 2009, Pages 386-394

  Wei, Chia Hung ^a   Li, Yue ^b   Chau, Wing Yin ^b   Li, Chang Tsun ^b  

^a CHING YUN UNIVERSITY   (Taiwan)

^b UNIVERSITY OF WARWICK   (United Kingdom)

Author keywords

Content based image retrieval; Feature extraction; Multimedia database; Trademark image retrieval; Zernike moments

Indexed keywords

CONTENT BASED RETRIEVAL; DATABASE SYSTEMS; EDGE DETECTION; IMAGE ENHANCEMENT; IMAGE RETRIEVAL; INFORMATION RETRIEVAL; TRADEMARKS;

CANNY EDGE DETECTORS; CONTENT-BASED IMAGE RETRIEVAL; DATABASE IMAGES; FEATURE MATCHING; GLOBAL FEATURES; LOCAL FEATURES; MULTIMEDIA DATABASE; NORMALISATION; OTHER ALGORITHMS; TRADEMARK REGISTRATIONS; ZERNIKE MOMENTS;

FEATURE EXTRACTION;

EID: 54549085372     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2008.08.019     Document Type: Article

References (35)

1. S. Alwis, J. Austin, A novel architecture for trademark image retrieval systems, in: Proceedings of the Challenge of Image Retrieval, British Computer Society, UK, 1998.
2. Eakins J.P. Trademark image retrieval. In: Lew S.W. (Ed). Principles of Visual Information Retrieval (2001), Springer, New York 319-354
3. Kato T. Database architecture for content-based image retrieval. Proc. SPIE Image Storage Retr. Syst. 1662 (1992) 112-123
4. Wu J.K., Lam C.P., Mehtre B.M., Gao Y.J., and Narasimhalu A. Content-based retrieval for trademark registration. Multimedia Tools Appl. 3 3 (1996) 245-267
5. J.P. Eakins, M.E. Graham, J.M. Boardman, Evaluation of a trademark image retrieval system, in: Information Retrieval Research, the 19th Annual BCS-IRSG Colloquium on IR Research, 1997.
6. Hussain M., and Eakins J.P. Component-based visual clustering using the self-organizing map. Neural Networks 20 2 (2007) 260-273
7. Cerri A., Ferri M., and Giorgi D. Retrieval of trademark images by means of size functions. Graphical Models 68 5-6 (2006) 451-471
8. Jiang H., Ngo C.-W., and Tan H.-K. Gestalt-based feature similarity measure in trademark database. Pattern Recognition 39 5 (2006) 988-1001
9. Hung M.H., Hsieh C.H., and Kuo C.-M. Similarity retrieval of shape images based on database classification. J. Visual Commun. Image Representation 17 5 (2006) 970-985
10. E.G.M. Petrakis, K. Kontis, E. Voutsakis, Relevance feedback methods for logo and trademark image retrieval on the Web, in: Proceedings of the 2006 ACM Symposium on Applied Computing, 2006, pp. 1084-1088.
11. D.-F. Shen, J. Li, H.T. Chang, H.H.P. Wu, Trademark retrieval based on block feature index code, in: Proceedings of IEEE International Conference on Image Processing 2005, vol. III, 2005, pp. 177-180.
12. Q. Li, J. Edwards, An enhanced normalisation technique for wavelet shape descriptors, in: The Fourth International Conference on Computer and Information Technology, 2004, pp. 722-729.
13. Kim W.-Y., and Kim Y.-S. A region-based shape descriptor using Zernike moments. Signal Process. Image Commun. 16 1-2 (2000) 95-102
14. Jain A.K., and Vailaya A. Shape-based retrieval: a case study with trademark image databases. Pattern Recognition 31 5 (1998) 1369-1390
15. Wu J.-K., Lam C.-P., Mehtre B.M., Gao Y.J., and Narasimhalu A.D. Content-based retrieval for trademark registration. Multimedia Tools Appl. 3 3 (1996) 245-267
16. Suganthan P.N. Shape indexing using self-organizing maps. IEEE Trans. Neural Networks 13 4 (2002) 835-840
17. Eakins J.P., Boardman J.M., and Graham M.E. Similarity retrieval of trademark images. IEEE Multimedia 5 2 (1998) 53-63
18. King I., and Jin Z. Integrated probability function and its application to content-based image retrieval by relevance feedback. Pattern Recognition 36 9 (2003) 2177-2186
19. Ciocca G., and Schettini R. Content-based similarity retrieval of trademarks using relevance feedback. Pattern Recognition 34 8 (2001) 1639-1655
20. Badawy O.E., and Kamel M. Shape-based image retrieval applied to trademark images. Int. J. Image Graphics 2 3 (2002) 375-393
21. Ren M., Eakins J.P., and Briggs P. Human perception of trademark images: implication for retrieval system design. J. Electron. Imaging 9 4 (2000) 564-575
22. Chang M.-T., and Chen S.-Y. Deformed trademark retrieval based on 2D pseudo-hidden Markov model. Pattern Recognition 34 5 (2001) 953-967
23. Cortelazzo G., Mian G.A., Vezzi G., and Zamperoni P. Trademark shapes description by string-matching techniques. Pattern Recognition 27 8 (1994) 1005-1018
24. Yin P.-Y., and Yeh C.-C. Content-based retrieval from trademark databases. Pattern Recognition Lett. 23 1-3 (2002) 113-126
25. Canny J. A computational approach for edge detection. IEEE Trans. Pattern Anal. Mach. Intell. 8 6 (1986) 679-698
26. Wee C.-Y., and Paramesran R. On the computational aspects of Zernike moments. Image Vision Comput. 25 6 (2007) 967-980
27. Papakostas G.A., Boutalis Y.S., Karras D.A., and Mertzios B.G. A new class of Zernike moments for computer vision applications. Inf. Sci. 177 13 (2007) 2802-2819
28. Charman W.N. Wavefront technology: past, present, and future. Contact Lens Anterior Eye 28 2 (2005) 75-92
29. James G. Modern Engineering Mathematics. third ed. (2001), Prentice-Hall, Englewood Cliffs, NJ
30. Hu Z., Metaxas D., and Axel L. In vivo strain and stress estimation of the heart left and right ventricles from MRI images. Med. Image Anal. 7 4 (2003) 435-444
31. Gonzalez R.C., Woods R.E., and Eddins S.L. Digital Image Processing Using MATLAB (2004), Prentice-Hall, Englewood Cliffs, NJ
32. Zhang D., and Lu G. A comparative study of curvature scale space and Fourier descriptors for shape-based image retrieval. J. Visual Commun. Image Representation 14 1 (2002) 39-57
33. Yadav R.B., Nishchal N.K., Gupta A.K., and Rastogi V.K. Retrieval and classification of shape-based objects using Fourier, generic Fourier, and wavelet-Fourier descriptors technique: a comparative study. Opt. Lasers Eng. 45 6 (2007) 695-708
34. J.P. Eakins, K.J. Riley, J.D. Edwards, Shape feature matching for trademark image retrieval, in: Proceedings of the Second International Conference on Image and Video Retrieval, 2003, pp. 28-38.
35. Mehtre B., Kankanhalli M., and Lee W. Shape measures for content based image retrieval: a comparison. Inf. Process. Manage. 33 3 (1997) 319-337