A comparative study of curvature scale space and Fourier descriptors for shape-based image retrieval

Journal of Visual Communication and Image Representation

Volumn 14, Issue 1, 2003, Pages 39-57

  Zhang, Dengsheng ^a   Lu, Guojun ^a  

^a UNIVERSITY OF BALLARAT   (Australia)

Author keywords

CBIR: shape; Curvature scale space; Fourier descriptors

Indexed keywords

CALCULATIONS; CONVOLUTION; DATABASE SYSTEMS; DISCRETE FOURIER TRANSFORMS; EVALUATION; FUNCTIONS; IMAGE COMPRESSION; PERFORMANCE;

CURVATURE SCALE SPACE DESCRIPTORS; FOURIER DESCRIPTORS; GAUSSIAN FUNCTION; MOVING PICTURES EXPERTS GROUP;

CONTENT BASED RETRIEVAL;

EID: 0037666421     PISSN: 10473203     EISSN: None     Source Type: Journal    
DOI: 10.1016/s1047-3203(03)00003-8     Document Type: Article

References (31)

1. Abbasi, S., Mokhtarian, F., Kittler, J., 1999. Curvature scale space image in shape similarity retrieval. Multimedia Systems 7 (6), 467-476.
2. Abbasi, S., Mokhtarian, F., Kittler, J., 2000. Enhancing CSS-based shape retrieval for objects with shallow concavities. Image and Vision Computing 18 (3), 199-211.
3. Del Bimbo, A., 1999 In: Visual Information Retrieval. Morgan Kaufmann, San Francisco, USA, pp. 56-57.
4. Davies, E.R., 1997. Machine Vision: Theory, Algorithms, Practicalities. Academic Press, New York.
5. Dudek, G., Tsotsos, J.K., 1997. Shape representation and recognition from multiscale curvature. Computer Vision and Image Understanding 68 (2), 170-189.
6. Daoudi, M., Matusiak, S., 2000. Visual image retrieval by multiscale description of user sketches. Journal of Visual Languages and Computing 11, 287-301.
7. Freeman, H., Saghri, A., 1978. Generalized chain codes for planar curves. In: Proceedings of the 4th International Joint Conference on Pattern Recognition, Kyoto, Japan, November 7-10, pp. 701-703.
8. Granlund. G., 1972. Fourier preprocessing for hand print character recognition. IEEE Transactions on Computers 21, 195-201.
9. Hu, M.-K., 1962. Visual pattern recognition by moment invariants. IRE Transactions on Information Theory IT-8, 179-187.
10. Jeannin, S. (Ed.) 2000, MPEG-7 Visual part of experimentation. Model Version 5.0. ISO/IEC JTC1/SC29/WG11/N3321, Nordwijkerhout, March.
11. Kim, H., Kim, J., 2000. Region-based shape descriptor invariant to rotation, scale and translation. Signal Processing: Image Communication 16, 87-93.
12. Kauppinen, H., Seppanen, T., Pietikainen, M., 1995. An experimental comparison of autoregressive and Fourier-based descriptors in 2D shape classification. IEEE Transactions on PAMI 17 (2), 201-207.
13. Liao, S.X., Pawlak, M., 1996. On image analysis by moments. IEEE Transactions on Pattern Analysis and Machine Intelligence 18 (3), 254-266.
14. Lu, G.J., Sajjanhar, S., 1999. Region-based shape representation and similarity measure suitable for content-based image retrieval. Multimedia System 7 (2), 165-174.
15. Mokhtarian, F., Abbasi, S., Kittler, J., 1996. Efficient and robust retrieval by shape content through curvature scale space. In: International Workshop on Image DataBases and Multimedia Search, Amsterdam, The Netherlands, pp. 35-42.
16. Mehtre, B.M., Kankanhalli, M.S., Lee, W.F., 1997. Shape measures for content based image retrieval: a comparison. Information Processing and Management 33 (3), 319-337.
17. Niblack, W. et al., 1993. The QBIC project: querying images by content using color, texture and shape. In: SPIE Conference on Storage and Retrieval for Image and Video Databases, San Jose, CA. Vol. 1908, pp. 173-187.
18. Pavlidis, T., 1982. In: Algorithms for Graphics and Image Processing. Computer Science Press, Rockville, MD, p. 143.
19. Persoon, E., Fu, K.-S., 1977. Shape discrimination using Fourier descriptors. IEEE Transactions on Systems, Man, and Cybernetics SMC-7 (3), 170-179.
20. Sanchez-Marin, F.J., 2000. Automatic recognition of biological shapes with and without representations of shape. Artificial Intelligence in Medicine 18 (2), 173-186.
21. Sanchez-Marin, F.J., 2001. Automatic recognition of biological shapes using the Hotelling transform. Computers in Biology and Medicine 31 (2), 85-99.
22. Sonka, M., Hlavac, V., Boyle, R., 1993. In: Image Processing, Analysis and Machine Vision. Chapman & Hall Computing, London, pp. 225-227.
23. Teague, M.R., 1980. Image analysis via the general theory of moments. Journal of Optical Society of America 70 (8), 920-930.
24. Tieng, Q.M., Boles, W.W., 1997. Recognition of 2D object contours using the wavelet transform zero-crossing representation. IEEE Transactions on PAMI 19 (8).
25. Teh, C.-H., Chin, R.T., 1988. On image analysis by the methods of moments. IEEE Transactions on Pattern Analysis and Machine Intelligence 10 (4), 496-513.
26. Taubin, G., Cooper, D.B., 1991. Recognition and positioning of rigid objects using algebraic moment invariants. SPIE Conference on Geometric Methods in Computer Vision 1570, 175-186.
27. Yang, H.S., Lee, S.U., Lee, K.M., 1998. Recognition of 2D object contours using starting-point-independent wavelet coefficient matching. Journal of Visual Communication and Image Representation 9 (2), 171-181.
28. Zhang, D.S., Lu, G.J., 2001a. Shape retrieval using Fourier descriptors. In: Proceedings of the International Conference on Multimedia and Distance Education (ICMADE'01), Fargo, ND, USA, pp. 1-9.
29. Zhang, D.S., Lu, G., 2001.A comparison of shape retrieval using Fourier descriptors and short-time Fourier descriptors. In: Proceedings of The Second IEEE Pacific-Rim Conference on Multimedia (PCM01), Beijing, China, October 24-26, 2001, pp. 855-860.
30. Zhang, D.S., 2002. Image retrieval based on shape. PhD Thesis, Monash University, Australia, March, 2003.
31. Zahn, C.T., Roskies, R.Z., 1972. Fourier descriptors for plane closed curves. IEEE Transactions on Computer c-21 (3), 269-281.