The week's pick
Random Articles
Reseach Article
Medical Image Quantization using Biogeography based Optimization
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 48 - Number 12 |
| Year of Publication: 2012 |
| Authors: Rajwinder Kaur, Rakesh Khanna |
10.5120/7398-0083
|
Rajwinder Kaur, Rakesh Khanna . Medical Image Quantization using Biogeography based Optimization. International Journal of Computer Applications. 48, 12 ( June 2012), 7-10. DOI=10.5120/7398-0083
Abstract
Biogeography based optimization (BBO) is a type of evolutionary algorithm. It is a population based optimization algorithm and provides clarification about the changing distribution of all species in different environment with time. Color quantization is the process of reducing the number of colors in the image and preserving the most important color information and compromise with other. A color image quantization is necessary if the display on which a specific image is presented works with less colors then the original image. Color quantization plays an important role in many medical imaging. This paper provides methods for quantization of various medical images like MRI, X-Ray using Biogeography Based optimization technique.
References
- Bandyopadhyay, S. K. 2011. "Colour quantization Technique for medical image segmentation", International Journal of research and reviews in computer science (IJRRCS), Vol. 2, No. 2, page 627-631, April 2011.
- T. Wesche ,G. Goertler,and W. Hubert,"Modified habitat suitability index model for brown trout in southern eastern Wyoming", North Amer. J. Fisheries Manage. ,vol 7,pp-232-237,1987.
- Hunter,Richard Sewall (July 1948). "Photoelectric color difference meter ". JOSA(proceeding of winter meeting of the optical society of America)
- Dan simon ,Senior member ,IEEE,IEE transactions on evolutionary computation ,Vol 12,No. 6,pp-702-713,December 2008 .
- H. Muhlenbin and D. Schlierkamp –Voosen, "Predictive model for the breeder Genetic Algorithm: I. Continous parameter optimization",Evol. Comp. ,vol. 1, pp-25-49, 1993
- Vitaliy F (2006), differential evolution in search of solutions. Springer, New York.
- Rajinder Kaur et al. , "Color Image Quantization based on Bacteria Foraging Optimization", International Journal of Computer Applications (0975 – 8887) Volume 25– No. 7, July 2011.
- Surbhi Gupta et al. , "Implementing Color Image Segmentation Using Biogeography Based Optimization", 2011 International Conference on Software and Computer Applications IPCSIT vol. 9 (2011) © (2011) IACSIT Press, Singapore.
- Cheng, S. C. , Yang, C. K. , 2001. "A fast and novel technique for color quantization using reduction of color space dimensionality", Pattern Recognition Lett. 22, 845–856.
- Surbhi Gupta et al. , "Color quantization in document images using biogeography based Optimization", 2011 International Conference on Software and Computer Applications IPCSIT vol. 9 (2011) © (2011) IACSIT Press, Singapore.
- Chia-Hung Wei, University of Warwick, UK et al. ,"A content based approach to medical image database retrieval",pp-258-291, wei,Li and Wilson.
- Seema Bansal et al. , "Color Image segmentation using CIElab color space using Ant Colony optimization", International Journal of Computer Applications (0975 – 8887) Volume 29– No. 9, September 2011.
Index Terms
Keywords