Experiences with shape classification through fuzzy c-means using geometrical and moments descriptors

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6817 LNCS, Issue , 2011, Pages 189-203

  Erra, Ugo ^a   Senatore, Sabrina ^b  

^a UNIVERSITY OF BASILICATA   (Italy)

^b UNIVERSITY OF SALERNO   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

2D SHAPE; DESCRIPTORS; FUZZY C MEAN; FUZZY CLUSTERING TECHNIQUES; IMAGE DATABASE; MULTI-MEDIA SOURCES; MULTIMEDIA MINING; MULTIPLE MODALITIES; MULTIPLE SOURCE; OBJECTS RECOGNITION; REAL-WORLD APPLICATION; SHAPE BASED; SHAPE CLASSIFICATION; VISUAL INFORMATION;

DIGITAL STORAGE; FUZZY CLUSTERING;

IMAGE PROCESSING;

EID: 84855709530     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-27169-4_14     Document Type: Conference Paper

References (34)

1. Shape data for the mpeg-7 core experiment ce-shape-1, http://www.cis.temple.edu/~latecki/TestData/mpeg7shapeB.tar.gz
2. Aguilera, A., Suber, A., Martinez, L., Subero, A., Tineo, L.: Fuzzy image retrieval system. In: The 10th IEEE International Conference on Fuzzy Systems, vol. 3, pp. 1247-1250 (2001)
3. Bezdek, J.: Cluster validity with fuzzy sets. J. Cybernet. 3, 58-72 (1974)
4. Bezdek, J.: Numerical taxonomy with fuzzy sets. J. Math. Biol. 1-1, 57-71 (1974)
5. Bezdek, J.C.: Pattern Recognition with Fuzzy Objective Function Algorithms. Kluwer Academic Publishers, Norwell (1981)
6. Boiman, O., Shechtman, E., Irani, M.: In defense of nearest-neighbor based image classification. In: CVPR 2008: Proceedings of the Conference on Computer Vision and Pattern Recognition (2008)
7. Celebi, M.E., Aslandogan, Y.A.: A comparative study of three moment-based shape descriptors. In: ITCC 2005: Proceedings of the International Conference on Information Technology: Coding and Computing, pp. 788-793. IEEE Computer Society, Washington, DC, USA (2005)
8. Chen, Y., Wang, J.: A region-based fuzzy feature matching approach to content-based image retrieval. IEEE Transactions on Pattern Analysis and Machine Intelligence 24(9), 1252-1267 (2002)
9. Datta, R., Joshi, D., Li, J., Wang, J.Z.: Image retrieval: Ideas, influences, and trends of the new age. ACM Computing Surveys 40(2), 1-60 (2008)
10. Flusser, J., Suk, T.: Pattern recognition by affine moment invariants. Pattern Recognition 26(1), 167-174 (1993)
11. Flusser, J., Zitova, B., Suk, T.: Moments and Moment Invariants in Pattern Recognition. Wiley, Chichester (2009)
12. Frigui, H.: Membershipmap: Data transformation based on granulation and fuzzy membership aggregation. IEEE Transactions on Fuzzy Systems 14(6), 885-896 (2006)
13. Gao, Y., Fan, J.: Semantic image classification with hierarchical feature subset selection. In: MIR 2005: Proceedings of the 7th ACM SIGMM International Workshop on Multimedia Information Retrieval, pp. 135-142. ACM, New York (2005)
14. Gevers, T., Smeulders, A.W.M.: Image search engines - an overview. In: Medioni, G., Kang, S.B. (eds.) Emerging Topics in Computer Vision. Prentice-Hall, Englewood Cliffs (2004)
15. Ha, J.-Y., Kim, G.-Y., Choi, H.-I.: The content-based image retrieval method using multiple features. In: NCM 2008: Proceedings of the 2008 Fourth International Conference on Networked Computing and Advanced Information Management, pp. 652-657. IEEE Computer Society, Washington, DC, USA (2008)
16. Hall, L., Bensaid, A., Clarke, L., Velthuizen, R., Silbiger, M., Bezdek, J.: A comparison of neural network and fuzzy clustering techniques in segmenting magnetic resonance images of the brain. IEEE Transactions on Neural Networks 3(5), 672-682 (1992)
17. Hu, M.-K.: Visual pattern recognition by moment invariants. IRE Transactions on Information Theory 8(2), 179-187 (1962)
18. Images, Z.C., Zhang, M., Hall, L.O., Muller-karger, F.E., Goldgof, D.B.: Knowledge-guided classification of coastal. International Journal of Pattern Recognition and Artificial Intelligence 14, 987-1007 (2000)
19. Jingwei, S.E., Eschrich, S., Ke, J., Hall, L.O., Goldgof, D.B.: Fast fuzzy clustering of infrared images. In: Joint 9th IFSA World Congress and 20th NAFIPS International Conference (2001)
20. Krishnapuram, R., Medasani, S., Jung, S.-H., Choi, Y.-S., Balasubramaniam, R.: Content-based image retrieval based on a fuzzy approach. IEEE Transactions on Knowledge and Data Engineering 16(10), 1185-1199 (2004)
21. Kulkami, S., Verma, B., Sharma, P., Selvaraj, H.: Content based image retrieval using a neuro-fuzzy technique, vol. 6, pp. 4304-4308 (July 1999)
22. Lay, J.A., Guan, L.: Image retrieval based on energy histograms of the low frequency dct coefficients. In: ICASSP 1999: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, pp. 3009-3012. IEEE Computer Society, Washington, DC, USA (1999)
23. Lieberman, H., Rozenweig, E., Singh, P.: Aria: An agent for annotating and retrieving images. Computer 34, 57-62 (2001)
24. Lowe, D.G.: Object recognition from local scale-invariant features. In: IEEE International Conference on Computer Vision, vol. 2, pp. 1150-1157 (August 1999)
25. Nachtegael, M., der Weken, D.V., Witte, V.D., Schulte, S., Mélange, T., Kerre, E.E.: Color image retrieval using fuzzy similarity measures and fuzzy partitions. In: ICIP (6), pp. 13-16 (2007)
26. Pengyu, L., Kebin, J., Peizhen, Z.: An effective method of image retrieval based on modified fuzzy c-means clustering scheme, vol. 3 (November 2006)
27. Rath, T.M., Manmatha, R., Lavrenko, V.: A search engine for historical manuscript images. In: SIGIR 2004: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 369-376. ACM, New York (2004)
28. Rui, Y., Huang, T.S., Chang, S.-F.: Image retrieval: Current techniques, promising directions, and open issues. Journal of Visual Communication and Image Representation 10(1), 39-62 (1999)
29. Tian, Y., Mei, L.: Image retrieval based on multiple features using wavelet. In: ICCIMA 2003: Proceedings of the 5th International Conference on Computational Intelligence and Multimedia Applications, p. 137. IEEE Computer Society, Washington, DC, USA (2003)
30. Vertan, C., Boujemaa, N.: Embedding fuzzy logic in content based image retrieval, pp. 85-89 (2000)
31. Xie, X., Beni, G.: A validity measure for fuzzy clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence 13, 841-847 (1991)
32. Yao, W., Hall, L., Goldgof, D., Muller-Karger, F.: Finding green river in seawifs satellite images. In: International Conference on Pattern Recognition, vol. 2, p. 2307 (2000)
33. Zhang, D.: Improving image retrieval performance by using both color and texture features. In: ICIG 2004: Proceedings of the Third International Conference on Image and Graphics, pp. 172-175. IEEE Computer Society, Washington, DC, USA (2004)
34. Zhang, D., Lu, G.: Evaluation of mpeg-7 shape descriptors against other shape descriptors. Multimedia Syst. 9(1), 15-30 (2003)