A Comparative Analysis of Depth Computation of Leukaemia Images using a Refined Bit Plane and Uncertainty Based Clustering Techniques

1. Mohapatra, S., S. S. Samanta, D. Patra, S. Satpathi. Fuzzy Based Blood Image Segmentation for Automated Leukemia Detection. - In: Proc. of International Conference on Devices and Communications, 2011, pp. 1-5.10.1109/ICDECOM.2011.5738491Search in Google Scholar

2. Swarnalatha, P., B. K. Tripathy. Depth Computation Using Bit Plane with Clustering Techniques for Satellite Images. - International Journal of Earth Sciences and Engineering, Vol. 6, No 6(01), 2013, pp. 1541-1553.Search in Google Scholar

3. S warnalatha, P., B. K. Tripathy, S. Prabu, R. Ramakrishnan, M. S. Moorthi. Depth Reconstruction Using Geometric Correction with Anaglyph Approach for Satellite Imagery. - In: Proc. of International Conference on Advances in Communication, Network, and Computing, CNC, Elsevier, 2014, pp. 506-515.Search in Google Scholar

4. Swarnalatha, P., M. Kota, N. R. Resu, G. Srivasanth. Automated Assessment Tool for the Depth of Pipe Deterioration. - In: Proc. of IEEE Advance Computing Conference, 2009, , pp. 721-724. ISBN 978-1-4244-2928-8.Search in Google Scholar

5. Swarnalatha, P., B. K. Tripathy. A Centroid Model for the Depth Assessment of Images Using Rough Fuzzy Set Techniques. - International Journal of Intelligent Systems and Applications, Vol. 1, 2012, pp. 20-26.10.5815/ijisa.2012.03.03Search in Google Scholar

6. Chan, Y. K., M. H. Tsai, D. C. Huang, Z. H. Zheng, K. D. Hung. Leukocyte Nucleus Segmentation and Nucleus Lobe Counting. Bio Med Central, Ltd., 2010.10.1186/1471-2105-11-558322457021073711Search in Google Scholar

7. Mecca, G., S. Raunich, A. Rappalardo. A New Algorithm for Clustering Search Results. - Data and Knowledge Engineering, Vol. 62, 2007, pp. 504-522.10.1016/j.datak.2006.10.006Search in Google Scholar

8. Xu, R., D. Wunsch. Clustering Algorithm in Biomedical Research: A Review. - IEEE Reviews in Biomedical Engineering, Vol. 3, 2010, pp. 120-154.10.1109/RBME.2010.208364722275205Search in Google Scholar

9. Valafar, F. Pattern Recognition Techniques in Microarray Data Analysis: A Survey. - Annals of New York Academy of Sciences, Vol. 980, 2002, pp. 41-64.10.1111/j.1749-6632.2002.tb04888.x12594081Search in Google Scholar

10. Jain, A. K., R. C. Dubes. Algorithms for Clustering Data. Upper Saddle River, NJ, USA, Prentice Hall, 1988.Search in Google Scholar

11. Bigus, J. P. Data Mining with Neural Networks. McGraw-Hill, 1996.Search in Google Scholar

12. Hazlyna, H. N., M. Y. Mashor, N. R. Mokhtar, S. A. N. Aimi, H. Rosline, R. A. A. Raof, M. K. Osman. Comparison of Acute Leukemia Image Segmentation Using HSI and RGB Color Space. - In: Proc. of 10th International Conference on Information Science, Signal Processing and Their Applications ISSPA-2010, pp. 749-752.10.1109/ISSPA.2010.5605410Search in Google Scholar

13. Mohapatra, S., D. Patra, K. Kumar. Fast Leukocyte Image Segmentation Using Shadowed Sets. - International Journal of Computational Biology and Drug Design, Vol. 5, 2012, No 1, pp. 49-65.10.1504/IJCBDD.2012.04595122436298Search in Google Scholar

14. Fatichah, C., M. L. Tangel, M. R Widyanto, F. Dong, K. Hirota. Interest-Based Ordering for Fuzzy Morphology on White Blood Cell Image Segmentation, 2012.10.20965/jaciii.2012.p0076Search in Google Scholar

15. Pandian, A. P., S. N. Sivanandam. Hybrid Algorithm for Lossless Image Compression Using Simple Selective Scan Order with Refined Bit Plane Slicing - Journal of Computer Science, Vol. 8, 2012, Issue 8, pp. 1338-1345.10.3844/jcssp.2012.1338.1345Search in Google Scholar

16. Tou, T., R. C. Gonzalez. Pattern Recognition Principles. London, Addison-Wesley, 1974.Search in Google Scholar

17. Xiong, H., J. J. Wu, J. Chen. K-Means Clustering Versus Validation Measures: A Data- Distribution Perspective. - IEEE Transactions on Systems, Man and Cybernetics. Part B: Cybernetics, Vol. 39, 2009, pp. 318-331.Search in Google Scholar

18. Bezdek, J. C. Pattern Recognition with Fuzzy Objective Function Algorithms. Norwell, MA, USA, Kluwer Academic, 1981.10.1007/978-1-4757-0450-1Search in Google Scholar

19. Lingras, P., C. West. Interval Set Clustering of Web Users with Rough K-Means. - Journal of Intelligent Information Systems, Vol. 23, 2004, pp. 5-16.10.1023/B:JIIS.0000029668.88665.1aSearch in Google Scholar

20. Pawlak, Z. Rough Sets. - International Journal of Computer and Information Sciences, Vol. 11, 1982, pp. 341-356.10.1007/BF01001956Search in Google Scholar

21. Dubois, D., H. Prade. Rough Fuzzy Sets Model. - International Journal of General Systems, Vol. 46, 1990, No 1, pp. 191-208.10.1080/03081079008935107Search in Google Scholar

22. Maji, P., S. K. Pal. RFCM: A Hybrid Clustering Algorithm Using Rough and Fuzzy Sets. - Fundamenta Informaticae, Vol. 80, 2007, No 4, pp. 475-496.Search in Google Scholar

23. Swarnalatha, P., B. K. Tripathy, N. P. Ladda, D. Ghosh. Cluster Analysis Using Hybrid Soft Computing Techniques. - In: Proc. of International Conference on Advances in Communication, Network, and Computing, CNC, Elsevier, 2014, pp. 516-524.Search in Google Scholar

24. Atanassov, K. T. Intuitionistic Fuzzy Sets. - Fuzzy Sets and Systems, Vol. 20, 1986, No 1, pp. 87-96.10.1016/S0165-0114(86)80034-3Search in Google Scholar

25. Chaira, T., A. Sneh. A Novel Intuitionistic Fuzzy Approach for Tumor/Hemorrhage Detection in Medical Images. - Journal of Scientific & Industrial Research, Vol. 70, 2011, pp. 427-434.Search in Google Scholar

26. Tripathy, B. K., Rohan Bhargava, Anurag Tripathy, Rajkamal Dhull, Ekta Verma, P. Swarnalatha. Rough Intuitionistic Fuzzy C-Means Algorithm and a Comparative Analysis. - In: Proceedings of ACM Compute-2013, VIT University, 21-22 August 2013.Search in Google Scholar

27. Swarnalatha, P., B. K. Tripathy. A Comparative Study of RIFCM with Other Related Algorithms from Their Suitability in Analysis of Satellite Images Using Other Supporting Techniques. - Kybernetes, Emerald Publications, Vol. 43, 2014, No 1, pp. 53-81.10.1108/K-12-2012-0126Search in Google Scholar

28. Zadeh, L. A. Fuzzy Sets. - Inform. Control, Vol. 8, 1965, pp. 338-353.10.1016/S0019-9958(65)90241-XSearch in Google Scholar

29. Raman, M., H. Aggarwal. Study and Comparison of Various Image Edge Detection Techniques. - International Journal of Image Processing, Vol. 3, 2002, Issue 1.Search in Google Scholar

30. Ersin, G. Adaptive Wiener-Turbo Systems with JPEG & Refined Bit Plane Compressions in Image Transmission. - Turk Journal Electrical Engineering & Comp. Science, Vol. 19, 2011, pp. 141-155.Search in Google Scholar

31. Ashok, Kumar T., S. Priya, Varghese Paul. Automatic Feature Detection in Human Retinal Imagery Using Bitplane Slicing and Mathematical Morphology. - European Journal of Scientific Research, Vol. 80, 2012, pp. 57-67.Search in Google Scholar

32. Mitra, S. An Evolutionary Rough Partitive Clustering. - Pattern Recognition Letters, Vol. 25, 2004, pp. 1439-1449. 10.1016/j.patrec.2004.05.007Search in Google Scholar