Fuzzy co-clustering of medical images using bacterial foraging

2008 23rd International Conference Image and Vision Computing New Zealand, IVCNZ

Volumn , Issue , 2008, Pages

  Hanmandlu, M ^a   Susan, S ^b   Madasu, V K ^c   Lovell, B C ^c  

^a INDIAN INSTITUTE OF TECHNOLOGY DELHI   (India)

^b DELHI TECHNOLOGICAL UNIVERSITY   (India)

^c UNIVERSITY OF QUEENSLAND   (Australia)

Author keywords

Bacteria foraging; Co clustering; Colour segmentation; Fuzzy clustering; Validity measure

Indexed keywords

BACTERIOLOGY; CLUSTERING ALGORITHMS; COBALT COMPOUNDS; COLOR; FUZZY SYSTEMS; MEMBERSHIP FUNCTIONS;

ANIMAL TISSUES; BACTERIAL FORAGING; BACTERIAL FORAGING ALGORITHMS; CO-CLUSTERING; CO-CLUSTERS; COLOUR CLUSTERING; COLOUR SEGMENTATION; CONVENTIONAL CLUSTERING; MEDICAL IMAGES; NUMBER OF ITERATIONS; OBJECTIVE FUNCTIONS; PATHOLOGICAL IMAGES; REGIONS OF INTERESTS; SPECIFIC VALUES; VALIDITY MEASURE;

FUZZY CLUSTERING;

EID: 63049087095     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IVCNZ.2008.4762136     Document Type: Conference Paper

References (26)

1. J.C. Bezdek, Pattern Recognition with Fuzzy Objective Function Algorithms, New York: Plenum Press, 1981.
2. X.L. Xie and G. Beni, "A Validity Measure for Fuzzy Clustering", IEEE Trans. PAMI, vol. 13, no. 8, pp. 841-847, 1991.
3. J.C. Bezdek and Joseph C. Dunn, "Optimal Fuzzy Partitions: A Heuristic for Estimating the Parameters in a Mixture of Normal Distributions", IEEE Trans. Computers, vol. C-24, issue 8, pp. 835-838, 1975.
4. th Intl. IEEE Intl. Conf. on Fuzzy Systems, vol. 2, pp. 772-777, 2003.
5. M. Hanmandlu, O.P. Verma, N.K. Kumar and M. Kulkarni, "A Novel Optimal Fuzzy System for colour image enhancement using bacterial foraging", IEEE Trans. Measurements and Instrumentation, in press.
6. A. Tremeau, and N. Borel, "A region growing and merging algorithm to colour segmentation", Pattern Recognition, vol. 30, no. 7, pp. 1191-1203, 1997.
7. S.C. Cheng, "Region-growing approach to colour segmentation using 3-D clustering and relaxation labelling", IEE Proc. VISP, vol. 150, no. 4, pp 270-276, 2003.
8. th Workshop on Signal Processing, pp. 1-4, 2005.
9. Y.W. Lim, S.U. Lee, "On the colour image segmentation algorithm based on thresholding and the fuzzy c-means techniques", Pattern Recognition, vol. 23, no. 3, pp. 935-952, 1990.
10. S.N. Jayaramamurthy and T.L. Huntsberger, "Edge and region analysis using fuzzy sets", Proc. IEEE Workshop on Language Automation, pp. 205-9, 1985.
11. T.L. Huntsberger, C.L. Jacob and R.L. Cannon, "Iterative fuzzy image segmentation", Pattern Recognition, vol. 18, no. 2, pp. 131-138, 1985.
12. th IEEE ICPR, pp. 991-994, 2004.
13. nd ed., Prentice-Hall, 2002.
14. nd ed., Pearson Education, 1989.
15. Timothy Ross, Fuzzy logic with engineering applications, McGraw-Hill, 1997.
16. Y.C. Ohta, T. Kanade and T. Sakai, "Colour information for region segmentation", Computer Graphics & Image Processing, vol. 13, no. 3, pp. 222-241, 1980.
17. C.H. Oh, K. Honda and H. Ichihashi, "Fuzzy clustering for categorical multivariate data", Proc. IFSA World Congress, pp 2154-59, 2001.
18. J. Mukherjee, "MRF clustering for segmentation of colour images", Pattern Recognition Letters, vol. 23, pp. 917-929, 2002.
19. th DSP Workshop, pp. 102-107, 2002.
20. M.I. Chacon, "Fuzzy Binarization and segmentation of text images for OPCR", Proc. Intl. Conf SPAT, pp. 1091-1095, 1996.
21. C.H. Li and P.C. Yuen, "Regularized colour clustering in medical image database", IEEE Trans. Medical Imaging, vol. 19, no. 11, pp. 1150-1155, 2000.
22. ETDRS group, "Grading diabetic retinopathy from stereoscopic colour fundus photographs", Ophthalmology, pp. 786-806, 1991.
23. X. Zhang and G. Fan, "Retinal Spot Lesion Detection Using Adaptive Multi-scale Morphological Processing", LNCS 4292, pp. 490-501, 2006.
24. T. Spencer, J.A. Olson, K.C. McHardy, P.F. Sharp, and J.V. Forrester, "An image-processing strategy for the segmentation and quantification of microaneurysms in fluorescent angiograms of the ocular fundus", Computers and Biomedical Research, vol. 29, pp. 284-302, 1996.
25. M. Niemeijer, B.V. Ginneken, J. Staal, M.S.A., Suttorp-Schulten, M.D. Abramo, "Automatic detection of red lesions in digital colour fundus photographs", IEEE Trans. Medical Imaging, vol. 24, 584-592, 2005.
26. T. Walter, J.C. Klein, P. Massin and A. Erginary, "A contribution of image processing to the diagnosis of diabetic retinopathy-detection of exudates in colour fundus images of the human retina", IEEE Trans. Medical Imaging, vol. 21, pp. 1236-1243, 2001.