International Science Community Association Research Journal of Recent Sciences 2277 - 2502 4 ISC-2014 2015 -----Select---- 2 A Study on Noise Filters to Pre-Process Magnetic Resonant Biomedical Images for Segmentation 51 56 EN Pravin Dahiphale 1 WE Deppt., CTAE, MPUAT, Udaipur, INDIA P.K.Singh 2 SWE Deppt., CAET, Dapoli, INDIA Kothari Mahesh 3 Kishor Gharde 4 Sagarika Swain 1 Kerala University of Fisheries and Ocean Studies (KUFOS), P.O. Panangad, Kochi, Kerala, INDIA Shyama S. 2 Dinesh K. 3 Sreenath V.R. 4 Adnankhan Golandaj 5 aj 6 Bhojiya A.A. 1 Department of Biotechnology, Mohanlal Sukhadia University, Udaipur-313001, Rajasthan, INDIA Joshi H. 2 P.M. Ingle 1 Department of Irrigation & Drainage Engineering, DBSKKV, Dapoli, MS, INDIA S.E.Shinde 2 AICRP on Water Management, DBSKKV, Dapoli, MS, INDIA M.S. Mane 3 Thokal R.T. 4 Ayare B.L. 5 Sharma Madhu 1 Department of Zoology, Guru Nanak Dev University Amritsar, 143005 Punjab, INDIA Chadha Pooja 2 Obaroh I.O. 1 Department of Biological Sciences, Kebbi State University of Science and Technology Aliero, NIGERIA Keta J.N. 2 Department of Pure and Applied Chemistry, Kebbi State University of Science and Technology Aliero, NIGERIA Elinge M. 3 Department of Biochemistry Kebbi State University of Science and Technology Aliero, NIGERIA Nwaogu J 4 Adnankhan Golandaj 1 Department of Aquaculture, School of Aquaculture and Biotechnology, KeralaUniversity of Fisheries and Ocean Studies (KUFOS), P.O. Panangad, Kochi, Kerala, INDIA Shyama S. 2 Dinesh K. 3 Sreenath V.R. 4 Sagarika Swain 5 iSumit Nandi 1 Department of Chemistry, Narula Institute of Technology, Agarpara, Kolkata-700109, West Bengal, INDIA Bhattacharyya Rupa 2 Ravi S 1 Department of Electronics, Mangalore University, Mangalagangotri 574199, Karnataka, INDIA Khan A.M. 2 > Research Paper 2014 11 4 2015 -----Select---- 2 Image Segmentation is a process of extracting region of interest from the whole image. The success of segmentation depends on the quality of the signal at the input. Noises are prevalent during image acquisition, due to various reasons and sources, thus making it hard to distinguish the healthy and abnormal tissues. Pre-processing is essential to remove these noises from the acquired images before subjecting to the actual processing algorithms. This paper gives the results of our study on different filters used to pre-process the biomedical images. The study shows that for a specific sequence of MR Images, a specific filter yields better results as compared with others. We have chosen three different image sequences i.e. T1-series, T2-series and DWI series of MRI and three different filters for the experiment. The statistical comparisons of the methods used are in agreement with our conclusion. For the study, we have taken real images from hospitals. Copyright@ International Science Community Association