Masking based segmentation of diseased MRI images

2010 International Conference on Information Science and Applications, ICISA 2010

Volumn , Issue , 2010, Pages

  De, Arunava ^a   Das, Rajib Lochan ^a   Bhattacharjee, Anup Kumar ^b   Sharma, Deepak ^c  

^a DR B C ROY ENGINEERING COLLEGE   (India)

^b NATIONAL INSTITUTE OF TECHNOLOGY   (India)

^c SHRI MATA VAISHNO DEVI UNIVERSITY   (India)

Author keywords

Entropy; Intensity contrast; Medical resonance imaging; Particle swarm optimization; Within class variance

Indexed keywords

CLASS SIZE; ENTROPY MAXIMIZATION; INTENSITY CONTRAST; INTENSITY LEVELS; MEDICAL RESONANCE IMAGING; MRI IMAGE; MULTI-MODAL IMAGE; NEIGHBOURHOOD PIXELS; PARTICLE SWARM OPTIMIZATION TECHNIQUE; REGION OF INTEREST; THRESHOLDING TECHNIQUES;

ENTROPY; IMAGE SEGMENTATION; INFORMATION SCIENCE; MEDICAL IMAGING; PARTICLE SWARM OPTIMIZATION (PSO); RESONANCE; TEACHING;

MAGNETIC RESONANCE IMAGING;

EID: 77954435669     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICISA.2010.5480274     Document Type: Conference Paper

References (19)

1. Y. Qiao, Q. Hu, G. Qian, S. Luo, and W. L. Nowinski, "Thresholding based on variance and intensity contrast," Pattern Recognition, vol. 40, pp. 596-608, 2007.
2. J.M.S. Prewitt, and M.L. Mendelsohn, "The analysis of cell images," Ann. N. Y. Acad. Sci. vol. 128, no. 3, pp. 1035-1053, 1966.
3. J.S. Weszka, and A. Rosenfeld, "Histogram modification for threshold selection," IEEE Transactions on Systems, Man and Cybernetics, vol. 9, no. 1, pp. 38-52, 1979.
4. J. Kittler, and J. Illingworth, "Minimum error thresholding," Pattern Recognition, vol. 19, no. 1, pp. 41-47, 1986.
5. S. Cho, R. Haralick and S. Yi, "Improvement of Kittler and Illingworth's minimum error thresholding", Pattern Recognition, vol . 22,no .5,pp. 609-617,1989.
6. J.S. Lee and M.C.K. Yang, "Threshold selection using estimates from truncated normal distribution", IEEE Trans. Syst. Man Cybern.,vol. 19,no. 2,pp. 422-429,1989.
7. T. Pun, "Entropic thresholding: a new approach", CVGIP: Graphical Models Image Process.,vol. 16,pp. 210-239,1981.
8. C.H. Li and C.K. Lee, "Minimum cross entropy thresholding", Pattern Recognition , vol. 26,no. 4 ,pp. 617-625,1993.
9. H.D. Cheng, J.R. Chen and J.G. Li, "Threshold selection based on fuzzy c-partition entropy approach", Pattern Recognition ,vol . 31,no . 7, pp . 857-870,1998.
10. P.K. Saha and J.K. Udupa, "Optimum image thresholding via class uncertainty and region homogeneity", IEEE Trans. Pattern Anal. Mach. Intell. ,vol . 23, no .7,pp . 689-706, 2001.
11. N. Otsu, "A thresholding selection method from gray-level histograms", IEEE Trans. Syst. Man Cybern,vol . 9,no . 1,pp . 62-66,1979.
12. J. Kittler and J. Illingworth, "On threshold selection using clustering criteria", IEEE Trans. Syst. Man Cybern.,vol . 15, no . 5, pp . 652-655,1985.
13. Q. Hu,Z. Hou and W.L. Nowinski, "Supervised range-constrained thresholding", IEEE Trans. Image Process,vol . 15,no . 1,pp . 228-240,2006.
14. C.A. Glasbey, "An analysis of histogram-based thresholding algorithms", CVGIP: Graphical Models Image Process, vol . 55, no .6, pp . 532-537,1993.
15. S. S. Rao, "Engineering optimization :Theory and practice" , pp. 709-711, Fourth edition, John Wiley and Sons, 2009.
16. th Annual International Conference of the IEEE EMBS, Cite Internationale,Lyon France,August 23-26, 2007.
17. Arnaldo Mayer and Hayit Greenspan, "An Adaptive Mean-Shift Framework for MRI Brain Segmentation", IEEE Transactions on Medical Imaging, vol. 28,No. 8, pp . 1238-1250, August 2009.
18. MC.Clark et al.. , "Automatic tumor-segmentation using Knowledgebase techniques",IEEE Transactions on Medical Imaging, pp 117,187-201,1998
19. L. Aït -Ali et al. , "Strem : A Robust Multidimensional Parametric Method to Segment MS Lesions in MRI", MICCAI 2005,Palm Springs, CA, USAJ. S, "Lecture Notes in Computer Science,3749",Springer-Verlag, vol. 3749,pp. 409, 2005