Image retrieval based on shape similarity by edge orientation autocorrelogram

Pattern Recognition

Volumn 36, Issue 8, 2003, Pages 1725-1736

  Mahmoudi, Fariborz ^a   Shanbehzadeh, Jamshid ^b   Eftekhari Moghadam, Amir Masoud ^a   Soltanian Zadeh, Hamid ^c,d  

^a IRAN TELECOMMUNICATION RESEARCH CENTER   (Iran)

^b KHARAZMI UNIVERSITY   (Iran)

^c UNIVERSITY OF TEHRAN   (Iran)

^d HENRY FORD HEALTH SYSTEM   (United States)

Author keywords

Image indexing; Image retrieval; Non segmentation based indexing; Shape based indexing

Indexed keywords

COLOR; CORRELATION METHODS; EDGE DETECTION; LIGHTING; VECTORS;

SHAPE-BASED IMAGE INDEXING;

CONTENT BASED RETRIEVAL;

ALGORITHM; IMAGE ANALYSIS; IMAGE CLASSIFICATION; PATTERN RECOGNITION; SHAPE ANALYSIS;

EID: 0038670223     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0031-3203(03)00010-4     Document Type: Article

References (36)

1. J. Shanbehzadeh, A.-M. Eftekhari-Moghadam, F. Mahmoudi, Image indexing and retrieval techniques: past, present and next, Proceedings of the SPIE: Storage and Retrieval for Multimedia Databases 2000, Vol. 3972, San Jose, California, USA January 2000, pp. 461-470.
2. Swain, M., & Ballard, D. (1991). Color indexing. Int. J. Comput. Vision, 7(1), 11-32.
3. Flickner, M. (1995). Query by image and video content: the QBIC system. IEEE Comput., 28(9), 23-32.
4. Ogle, V. E., & Stonebraker, M. (1995). Chabot: retrieval from a relational database of images. IEEE Comput., 28(9), 40-48.
5. Pentland, A., Picard, R., & Sclaroff, S. (1996). Photobook: tools for content-based manipulation of image databases. Int. J. Comput. Vision, 18(3), 233-254.
6. G. Pass, R. Zabih, Histogram refinement for content-based image retrieval, IEEE WACV (1996) 96-102.
7. J. Huang, S.R. Kumar, M. Mitra, W.J. Zhu, R. Zabih, Image indexing using color correlograms, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, San Juan, Puerto Rico, June 1997, pp. 762-768.
8. Huang, J., Kumar, S. R., Mitra, M., Zhu, W. J., & Zabih, R. (1999). Spatial color indexing and applications. International Journal of Computer Vision, 35(3), 245-268.
9. Y. Gong, G. Proietti, C. Faloutsos, Image indexing and retrieval based on human perceptual color clustering, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1998, pp. 578-583.
10. Del Bimbo, A., Mugnaini, M., Pala, P., & Turco, F. (1998). Visual querying by color perceptive regions. Pattern Recognition, 31 1241-1253.
11. S.Y. Jeong, K. Kim, B.T. Chun, J.Y. Lee, Y.L.J. Bae, Entropy and color correlation features for image indexing, Proceedings of IEEE International Conference on Systems, Man and Cybernetics, Vol. 2, 1999, pp. 895-899.
12. M.H. O'Docherty, A multimedia information system with automatic content retrieval. Technical Report Series UMCS-93-2-2, Department of Computer Science, University of Manchester, 1993, England.
13. A. Yoshitaka, S. Kishida, M. Hirakawa, T. Ichikawa, Knowledge-assisted content-based retrieval for multimedia databases, Proceedings of the IEEE International Conference on Multimedia Computing and Systems, Boston, 1994.
14. Wu, J. K., & Narasimhalu, A. D. (1994). Identifying faces using multiple retrievals. IEEE Multimedia, 1(2), 27-38.
15. Mokhtarian, F. (1995). Silhouette-based isolated object recognition through curvature scale space. IEEE Trans. Pattern Anal. Mach. Intell., 17(5), 539-544.
16. W. Niblack, J. Yin, A pseudo-distance measure for 2D shapes based on turning angle, Proceedings of the IEEE International Conference on Image Processing, 1995, pp. 352-355.
17. G. Iannizzotto, A. Puliafito, L. Vita, Design and implementation of a content-based image retrieval tool, Proceedings of the IEEE PDSE'97, Boston, Massachusetts, USA, May 1997, pp. 304-310.
18. Abbasi, S., Mokhtarian, F., & Kittler, J. (1999). Curvature scale space in shape similarity retrieval. Multimedia Systems, 7(6), 467-476.
19. S. Abbasi, F. Mokhtarian, Multi-view object representation and recognition through curvature scale space, Proceedings of the Fifth Annual CSI International Conference, Tehran, Iran, March 2000, pp. 467-476.
20. Berretti, S., Del Bimbo, A., & Pala, P. (2000). Retrieval by shape similarity with perceptual distance and effective indexing. IEEE Trans. Multimedia, 2(4), 225-239.
21. J. Bigun, S.K. Bhattacharjee, S. Michel, Orientation radiograms for image retrieval: an alternative to segmentation, Proceedings of the 13th IEEE International Conference on Pattern Recognition, Vol. 3, 1996, pp. 346-350.
22. Jain, A. K., & Vailaya, A. (1996). Image retrieval using color and shape. Pattern Recognition, 29(8), 1233-1244.
23. Kroepelien, B., Vailaya, A., & Jain, A. K. (1996). Image databases: a case study in Norwegian silver authentication. Proceedings of the 13th IEEE International Conference on Pattern Recognition, 3 370-374.
24. J. Zheng, C.H.C. Leung, Automatic image indexing for rapid content-based retrieval, Proceedings of the IEEE International Workshop on Multimedia Database Management Systems, Blue Mountain Lake, New York, August 1996, pp. 38-45.
25. Y. Shinagawa, M. Oga, T.L. Kunii, S. Murakami, Characterizing images based on lines for image indexing, Proceedings of the IEEE Computer Graphics International, Hasselt and Diepenbeek, Belgium, June 1997, pp. 94-102.
26. Jain, A. K., & Vailaya, A. (1998). Shape-based retrieval: a case study with trademark image database. Pattern Recognition, 31(9), 1369-1390.
27. A. Vailaya, A. Jain, H.J. Zhang, On image classification: city vs. landscape, Proceedings of the IEEE Workshop on Content-Based Access of Image and Video Libraries, June, 1998, pp. 3-8.
28. J. Shanbehzadeh, F. Mahmoudi, A. Sarafzadeh, A.-M. Eftekhari-Moghadam, Image retrieval based on the directional edge similarity, Proceedings of the SPIE: Multimedia Storage and Archiving Systems, Vol. IV, Boston, Massachusetts, USA, September 1999, pp. 267-271.
29. J. Shanbehzadeh, F. Mahmoudi, A. Sarafzadeh, A.-M. Eftekhari-Moghadam, Z. Asarzadeh, Image indexing using edge orientation correlogram, Proceedings of the SPIE: Internet Imaging, Vol. 3964, January 2000, pp. 102-108.
30. F. Mahmoudi, J. Shanbehzadeh, A.-M. Eftekhari-Moghadam, A shape-based method for content-based image retrieval, Proceedings of the Fifth Annual International CSI Computer Conference (CSICC'2000), Tehran, Iran, March, 2000, pp. 11-16.
31. G.J.G. Upton, B. Fingleton, Spatial Data Analysis by Example, Vol. I, Wiley, New York, 1985.
32. Gonzalez, R. C., & Wints, P. (1992). Digital Image Processing. Reading, MA: Addison-Wesley.
33. Salton, G., & McGill, M. (1983). Introduction to Modern Information Retrieval. New York: McGraw-Hill.
34. J.R. Smith, Image retrieval evaluation, Proceedings of the IEEE Workshop on Content-Based Access of Image and Video Libraries, June 1998, pp. 112-113.
35. M. Vissac, J.-L. Dugelay, K. Rose, A novel indexing approach for multimedia image database, Proceedings of the IEEE Third Workshop on Multimedia Signal Processing, Copenhagen, Denmark, September 1999, pp. 97-102.
36. Mueller, H., Mueller, W., Squire, D. M., Marchand-Maillet, M., and Pun, P. (2001). Performance evaluation in content-based image retrieval: overview and proposals. Pattern Recognition Lett., 22(5), 593-601.