The week's pick
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.
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