Development of Noise Free Hybrid Segmentation Approach in MRI Processing
Kimmi Verma1, Shabana Urooj2, Ritu Vijay3
1Kimmi Verma, Department of ECE, GGSIP University, Delhi Technical Campus, Greater Noida (U.P), India.
2Shabana Urooj, School of Engineering, Gautam Buddh University, Greater Noida (U.P), India.
3Ritu Vijay, Department of Electronics, Banasthali University, Jaipur (Rajasthan), India.
Manuscript received on 18 June 2019 | Revised Manuscript received on 25 June 2019 | Manuscript published on 30 June 2019 | PP: 849-853 | Volume-8 Issue-5, June 2019 | Retrieval Number: E7269068519/19©BEIESP
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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: Brain tumor is the second most common reason of the death happening in humans. The growing field of image processing consistently allows living organs and organisms to be explored non-invasively. The aim of this paper is to highlight the presence of noise in a MR image, kind of noises and their effects. The development of hybrid segmentation followed by filtering technique for high variation of noise in MR images is done. For further analysis removal of noise plays a key role in processing the information of an image. Various Filters such as Mean filter, Median Filter, Adaptive filter are examined and applied for the removal of Gaussian Noise, Salt and Pepper Noise, Speckle noise and are also compared in terms of RMSE and PSNR values
Keywords: MR Image, Gaussian Noise, Salt And Pepper Noise, Speckle Noise, Adaptive Filter, Mean Filter, Median Filter, RMSE, PSNR.
Scope of the Article: Image Processing