Resonance Image Enhancement using Hybrid Center Weighted Median Filter and Bacteria Foraging Optimization
Ben George Ephrem1, Shabbeer Shaik2, Mohamed Abbas3, Saleem Basha4
1Ben George Ephrem, Department of Information Technology, Higher College of Technology, Muscat, Sultanate of Oman.
2Shabbeer Shaik, Department of Information Technology, Higher College of Technology, Muscat, Sultanate of Oman.
3Mohamed Abbas *, Department of Computer Science and Information Technology, Mazoon College, Muscat, Sultanate of Oman.
4Saleem Basha, Department of Computer Science and Information Technology, Mazoon College, Muscat, Sultanate of Oman.
Manuscript received on January 09, 2020. | Revised Manuscript received on January 22, 2020. | Manuscript published on January 30, 2020. | PP: 2740-2745 | Volume-8 Issue-5, January 2020. | Retrieval Number: E6378018520/2020©BEIESP | DOI: 10.35940/ijrte.E6378.018520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Magnetic Resonance Image (MRI) is the best imaging technique employed nowadays for diagnosing brain tumour in the initial stage. This paper recommends an unique method for the brain MR image enhancement, that is centred on the Hybrid Center Weighted Median (HCWM) filter and Bacteria Foraging Optimization (BFO). The MR image for this research is obtained from the online and it is pre-processed to remove all the film artifacts. After that the high frequency components are eliminated from the MR brain image by means of a newly proposed HCWM filter. HCWM Filter is the hybrid filter derived by combining the Center Weighted Median Filter and the Weiner Filter. The swarm-based intelligence algorithm called the bacteria foraging optimization is used to predict the weights of the filter dynamically. The performance of the proposed filtering approach is evaluated with the other available filtering methods.
Keywords: Magnetic Resonance Image, Brain Tumor, Image Enhancement, Hybrid Center Weighted Median Filter, Bacteria Foraging Optimization.
Scope of the Article: Discrete Optimization.