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Application of Bacterial Foraging Optimisation as a De-noising filter

Author(s): Suman Yaduwanshi#1 Jagroop Singh Sidhu

Journal: International Journal of Engineering Trends and Technology
ISSN 2231-5381

Volume: 4;
Issue: 7;
Start page: 3049;
Date: 2013;
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Keywords: BFO | cost function | MSE | PSNR | De-noising | Medical image

De-noising of image still a concerned for researchers working in this area. It is further challenging in case of medical images mainly images of the internal organs. Various digital filters have been developed and tried by researchers to provide ideal solution in the de-noising of medical images. In the present paper the authors present a Soft Computing approach to denoise the medical images. Bacterial Foraging Optimisation which is a bio-inspired algorithm is used as filter to de-noise medical images like CT-Scan and MRI of pancreas. The performance metrics like MSE and PSNR are calculated which show that Bacterial Foraging Optimisation can act as potential tool for denoising images.
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