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

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

Open Access
|Mar 2015

References

  1. 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.2011.5738491
  2. 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.
  3. 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.
  4. 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.
  5. 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.2012.03.03
  6. 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., 2010.10.1186/1471-2105-11-558322457021073711
  7. 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.2006.10.006
  8. 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.2010.208364722275205
  9. 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.x12594081
  10. 10. Jain, A. K., R. C. Dubes. Algorithms for Clustering Data. Upper Saddle River, NJ, USA, Prentice Hall, 1988.
  11. 11. Bigus, J. P. Data Mining with Neural Networks. McGraw-Hill, 1996.
  12. 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.2010.5605410
  13. 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.2012.04595122436298
  14. 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.p0076
  15. 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.2012.1338.1345
  16. 16. Tou, T., R. C. Gonzalez. Pattern Recognition Principles. London, Addison-Wesley, 1974.
  17. 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.
  18. 18. Bezdek, J. C. Pattern Recognition with Fuzzy Objective Function Algorithms. Norwell, MA, USA, Kluwer Academic, 1981.10.1007/978-1-4757-0450-1
  19. 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.0000029668.88665.1a
  20. 20. Pawlak, Z. Rough Sets. - International Journal of Computer and Information Sciences, Vol. 11, 1982, pp. 341-356.10.1007/BF01001956
  21. 21. Dubois, D., H. Prade. Rough Fuzzy Sets Model. - International Journal of General Systems, Vol. 46, 1990, No 1, pp. 191-208.10.1080/03081079008935107
  22. 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.
  23. 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.
  24. 24. Atanassov, K. T. Intuitionistic Fuzzy Sets. - Fuzzy Sets and Systems, Vol. 20, 1986, No 1, pp. 87-96.10.1016/S0165-0114(86)80034-3
  25. 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.
  26. 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.
  27. 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-12-2012-0126
  28. 28. Zadeh, L. A. Fuzzy Sets. - Inform. Control, Vol. 8, 1965, pp. 338-353.10.1016/S0019-9958(65)90241-X
  29. 29. Raman, M., H. Aggarwal. Study and Comparison of Various Image Edge Detection Techniques. - International Journal of Image Processing, Vol. 3, 2002, Issue 1.
  30. 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.
  31. 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.
  32. 32. Mitra, S. An Evolutionary Rough Partitive Clustering. - Pattern Recognition Letters, Vol. 25, 2004, pp. 1439-1449. 10.1016/j.patrec.2004.05.007
DOI: https://doi.org/10.1515/cait-2015-0011 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
Language: English
Page range: 126 - 146
Published on: Mar 13, 2015
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2015 Swarnalatha Purushotham, B. K. Tripathy, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.