An overview of rough-hybrid approaches in image processing

IEEE International Conference on Fuzzy Systems

Volumn , Issue , 2008, Pages 2135-2142

  Hassanien, Aboul Ella ^a,b   Abraham, Ajith ^c   Peters, James F ^d   Schaefer, Gerald ^e  

^a CAIRO UNIVERSITY   (Egypt)

^b KUWAIT UNIVERSITY   (Kuwait)

^c NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Norway)

^d UNIVERSITY OF MANITOBA   (Canada)

^e ASTON UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN APPROACHES; COMPUTATIONAL INTELLIGENCE TECHNIQUES; DATA DEPENDENCIES; DIMENSIONALITY REDUCTIONS; DO-MAINS; FEATURE SPACES; HYBRID APPROACHES; ROUGH SETS; SAMPLE DATUMS; SUPPORT VECTORS; SWARM OPTIMIZATIONS;

ARTIFICIAL INTELLIGENCE; BAYESIAN NETWORKS; DIESEL ENGINES; DIGITAL IMAGE STORAGE; FUZZY LOGIC; FUZZY NEURAL NETWORKS; FUZZY SETS; FUZZY SYSTEMS; GENETIC ALGORITHMS; IMAGE PROCESSING; IMAGE SEGMENTATION; IMAGING SYSTEMS; MATHEMATICAL MORPHOLOGY; NEURAL NETWORKS; SET THEORY; SUPPORT VECTOR MACHINES;

ROUGH SET THEORY;

EID: 55249121870     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FUZZY.2008.4630665     Document Type: Conference Paper

References (62)

1. Z. Pawlak, Classification of Objects by Means of Attributes, Institute for Computer Science, Polish Academy of Sciences, Report 429, 1981.
2. Z. Pawlak, "Rough sets", International J. Comp. Inform. Science, vol. 11, pp.341-356, 1982.
3. Z. Pawlak, "Rough classification", International Journal of Man-Machine Studies, vol. 20, no. 5, pp. 469-483, 1984.
4. Z. Pawlak, A. Skowron, "Rudiments of rough sets", Information Sciences, vol. 177, no. 1, pp. 3-27, 2007.
5. Z. Pawlak, A. Skowron, "Rough sets: Some extensions", Information Sciences. An International Journal, Elsevier, vol. 177, no. 1, pp. 28-40, 2007.
6. Z. Pawlak, A. Skowron, "Rough sets and Boolean reasoning", Information Sciences. An International Journal, Elsevier, vol. 177, no. 1, pp. 41-73, 2007.
7. Z. Pawlak, Rough Sets. Theoretical Aspects of Reasoning About Data, Kluwer, The Netherlands, 1991.
8. Z. Pawlak, J. Grzymala-Busse, R. Slowinski, W. Ziarko, "Rough Sets", Communications of the ACM, vol.38, no. 11, pp.88-95, 1995.
9. L. Polkowski, Rough Sets. Mathematical Foundations. Physica-Verlag, Heidelberg, 2003.
10. A.E. Hassanien, D. Selzak (2006) Rough Neural Intelligent Approach for Image Classification: A Case of Patients with Suspected Breast Cancer", International Journal of Hybrid Intelligent Systems, vol. 3, no. 4, pp. 205-218, 2006.
11. P. Lingras, "Rough neural networks". In: Proc. of the 6th Int. Conf. on Information Processing and Management of Uncertainly in Knowledge-based Systems, Granada, Spain, pp. 1445-1450, 1996.
12. J.F. Peters, "Classification of perceptual objects by means of features", International Journal of Information Technology and Intelligent Computing, in press.
13. J.F. Peters, L. Han, S. Ramanna, "Rough Neural Computing in Signal Analysis", Computational Intelligence, vol.17, no.3, pp. 493-513, 2001.
14. J.F. Peters, A. Skowron, L. Han, S. Ramannam "Towards Rough Neural Computing Based on Rough Membership Functions: Theory and Application", In: RSCTC, LNAI, vol. 2005, pp. 611-618, 2000.
15. L. Han, J.F. Peters, S. Ramanna, R. Zhai, "Classifying faults in high voltage power systems: A rough-fuzzy neural computational approach", Lecture Notes in Artificial Intelligence, vol. 1711, pp. 47-54, 1999.
16. F. Chiang, R. Braun, "Intelligent Failure Domain Prediction in Complex Telecommunication Networks with Hybrid Rough Sets and Adaptive Neural Nets", in 3rd Int. Information and Telecommunication Technologies Symp., pp. 1-8, 2004.
17. X. Hu, T.Y. Lin, J. Han, "A New Rough Sets Model Based on Database Systems", Fundamenta Informaticae, vol. 59, no. 2-3, pp.135-152, 2004.
18. A.E. Hassanien, "Fuzzy-rough hybrid scheme for breast cancer detection", Image and Computer Vision Journal, Elsevier, vol. 25, Issue 2, pp. 172-183, 2007.
19. P. Chen, G. Wang, Y. Yang and J. Zhou, "Facial Expression Recognition Based on Rough Set Theory and SVM" Lecture Notes in Computer Science, Springer Berlin / Heidelberg, Rough Sets and Knowledge Technology, Volume 4062/2006, pp.772-777, 2006
20. E. El-dahshan, A. Redi, A.E. Hassanien, K. Xiao, "Accurate Detection of Prostate Boundary in Ultrasound Images Using Biologically-inspired Spiking Neural Network" International Symposium on Intelligent Siganl Processing and Communication Systems Proceeding 2007. Xiamen, China, pp.333-336.
21. J. Bazan, H.S. Nguyen, S.H. Nguyen, P. Synak, J. Wróblewski, "Rough Set Algorithms in Classification Problem". In: Polkowski, L., Tsumoto, S., Lin, T.Y. (eds.), Rough Set Methods and Applications. Physica Verlag. Berlin, pp. 49-88, 2000.
22. M. Borkowski, J.F. Peters, "Matching 2D image segments with genetic algorithms and approximation spaces", Transactions on Rough Sets V. LNCS 4100, pp. 63-101, 2006.
23. G.J. Dong, Y.S. Zhang and Y.H. Fan "Remote Sensing Image Classification Algorithm Based on Rough Set Theory",Advances in Soft Computing, Springer Berlin / Heidelberg, Volume 40/2007, pp. 846-851, 2007
24. J.M. Ali and A.E. Hassanien, "Mathematical Morphology Approach for Enhancement Digital Mammography Images", IASTED. International Conference on Biomedical Engineering (BioMED2004) February 16-18. In Innsbruck, Austria. 2004.
25. Z. Wu and D. Li, "A rough sets approach of hyperspectral image classification" Proceedings of SPIE - Volume 6043 MIPPR 2005: SAR and Multispectral Image Processing. Liangpei Zhang, Jianqing Zhang, Mingsheng Liao, Editors, 604310 (Nov. 3, 2005)
26. A.E. Hassanien, "Pulse coupled Neural Network for Detection of Masses in Digital Mammogram", Neural Network World Journal, Vol. 2/06, pp. 129-141, 2006
27. J. Yun, L. Zhanhuai, W. Yong, Z. Longbo, "A Better Classifier Based on Rough Set and Neural Network for Medical Images", Proc. of the Sixth IEEE Int. Conf. on Data Mining, pp.853-857, 2006.
28. R.W. Swiniarski, L. Hargis, "Rough sets as a front end of neural-networks texture classifiers", Neurocomputing, vol. 36(1-4), pp.85-102, 2001.
29. S. King, W. Ziarko, J. Hamilton and Cercone N, "Using Rough Sets as Tools for Knowledge Discovery". In: First International Conference on Knowledge Discovery and Data Mining KDD'95, U.M. Fayyad, R. Uthurusamy (eds.), Montreal, Que., Canada, AAAI, pp.263-268, 1995.
30. J. Li, N. Cercone, "A Rough Set Based Model to Rank the Importance of Association Rules", LNAI, vol. 3462, pp. 109-118, 2005.
31. P. Srinivasan, M.E. Ruiz, D.H. Kraft, J. Chen, "Vocabulary mining for information retrieval: rough sets and fuzzy sets", Information Processing & Management, vol. 37, no. 1, pp. 15-38, 1998.
32. C.-W. Mao, S.-H. Liu, J.-S. Lin, "Classification of multispectral images through a rough-fuzzy neural network", Optical Engineering, vol. 43, Issue 1, pp. 103-112, 2004.
33. X. Wang, J. Yang, X. Teng, N. Peng, "Fuzzy Classifiers Fuzzy Rough Set Based Nearest Neighbor Clustering Classification Algorithm", Lecture Notes in Computer Science, vol. 3613, pp. 370-373, 2005.
34. S. Mitra, H. Banka, W. Pedrycz, "Rough-Fuzzy Collaborative Clustering Systems", IEEE Transactions on Man and Cybernetics. Part B, vol. 36. Issue 4, pp. 795-805, 2006.
35. A. Petrosino, G. Salvi, "Rough fuzzy set based scale space transforms and their use in image analysis", Int. J. of Approximate Reasoning, vol. 41, Issue 2, pp. 212-228, 2006.
36. M. Sarkar, "Rough-fuzzy functions in classification", Fuzzy Sets and Systems, vol. 132, Issue 3, pp. 353-369, 2002.
37. L. Polkowski, "Approximate mathematical morphology: rough set approach" http://citeseer.ist.psu.edu/326941.html (pdf file)
38. A. Skowron and L. Polkowski "Analytical Morphology: Mathematical Morphology of Decision Tables", Fundamenta Informaticae, vol. 27 Issue: 2/3 p. 255-271, 1996.
39. P. Lingras (2001) Unsupervised Rough Set Classification using GAs", Journal Of Intelligent Information Systems, vol. 16(3), pp. 215-228, 2001.
40. P. Mitra, S. Mitra, S. Pal, "Evolutionary modular MLP with rough sets and ID3 algorithm for staging of cervical cancer", Neural Computing and Applications, vol. 10, no.1, pp. 67-76, 2001.
41. D. Ślȩzak, W. Ziarko, "The investigation of the Bayesian rough set model". Int J of Approximate Reasoning, Data Mining and Granular Computing, vol. 40, issues 1-2, pp. 81-91, 2005.
42. R.W. Swiniarski, "Rough Sets and Bayesian Methods Applied to Cancer Detection", First Int. Conf. on Rough Sets and Current Trends in Computing, pp. 609-616, 1998.
43. A.E. Hassanien and H. Own, "Multresolution Image Denosing based on Wavelet Transform" International Journal on Machine Graphics & Vision, Vol. 10, No. 2, pp. 221-230, 2001.
44. Z. Pawlak, "Rough sets - Theoretical aspects of reasoning about data". Kluwer, 1991.
45. Z. Pawlak, J. Grzymala-Busse, R. Slowinski and W. Ziarko, "Rough Sets". Communications of the ACM, vol.38, no.11, pp.88-95, 1995.
46. S. Das, A. Abraham, S.K. Sarkar, "A Hybrid Rough Set-Particle Swarm Algorithm for Image Pixel Classification". Proc. of the Sixth Int. Conf. on Hybrid Intelligent Systems, pp. 26-32, 2006.
47. X. Wang, J. Yang, R. Jensen, X. Liu, "Rough set feature selection and rule Induction for prediction of malignancy degree in brain glioma", Computer methods and programs in biomedicine, vol. 8, no. 3, pp. 147-156, 2006.
48. G. Zhang, Z. Cao, Y. Gu, "A Hybrid Classifier Based on Rough Set Theory and Support Vector Machines", Lecture Notes in Computer Science, vol. 3613, pp. 1287-1296, 2005.
49. P. Lingras, C. Butz, "Rough set based 1-v-1 and 1-v-r approaches to support vector machine multi-classification", Information Sciences: an International Journal, vol. 177, Issue 18, pp. 3782-3798, 2007.
50. B. Qiu, C.S. Xu, Q. Tian, "An Automatic Classification System Applied in Medical Images", IEEE Int. Conf. on Multimedia and Expo, pp. 1045-1048, 2006.
51. Y. Jiang, Z. Li, L. Zhang, P. Sun, "An Improved SVM Classifier for Medical Image Classification", in M. Kryszkiewicz et al., Eds., Int. Conf. on Rough Sets and Emerging Intelligent Systems Paradigms, LNAI, vol. 4585, pp. 764-773, 2007.
52. L. Polkowski, "Rough Sets: Mathematical Foundations". Physica-Verlag, 2003.
53. A.E. Hassanien and A. Abraham "Rough Morphology Hybrid Approach for Mammography Image Classification and Prediction" International Journal of Computational Intelligence and Application World Scientific Publishing Company, 2008 (in press).
54. X. Mingge, H. You, X. Huang and S. Feng, "Image fusion algorithm using rough sets theory and wavelet analysis", Proceeding of the 7th International Conference on Signal Processing. ICSP04, Volume 2, 31 Aug.-4 Sept. 2004, pp. 1041-1044.
55. Y. Li, J. Shen, Z. Lu "Structure optimization of wavelet neural network using rough set theory" Proceedings of the 4th World Congress on Intelligent Control and Automation, Volume 1, 2002, pp.: 652-655.
56. G.Q. Yang, L.H. Jiang and Y. Li, "Application of Rough Sets in Binary Morphology" International Conference on Machine Learning and Cybernetics, pp.3446-3449.
57. I. Bloch "On links between mathematical morphology and rough sets", Pattern Recognition 33(9), pp. 1487-1496 2000.
58. G. Matheron, "Random Sets and Integral Geometry". New York: Wiley, 1974.
59. J. Serra, "Image Analysis and Mathematical Morphology". vol.1.London, Academic press, 1982.
60. J. Serra, "Image Analysis and Mathematical Morphology", vol. 2, Theoretical Advances,London, Academic, 1988.
61. J. G. Stell "Relations in Mathematical Morphology with Applications to Graphs and Rough Sets" Lecture Notes in Computer Science. Volume 4736/2007 Spatial Information Theory, pp.438-454, 2007.
62. P. Soille, "Morphological Image Analysis". Principles and Applications, Springer, 1999.