Segmentation of MR Brain Image using Multi Atlas Matching Technique
M.A.P. Manimekalai1, N.A. Vasanthi2, Thusnavis Bella Mary3
1M.A.P. Manimekalai, Department of ECE, Karunya Institute of Technology and Sciences, Coimbatore (Tamil Nadu), India.
2N.A. Vasanthi, Department of CSE, Adithya Institute of Technology, Coimbatore (Tamil Nadu), India.
3Thusnavis Bella Mary, Department of ECE, Karunya Institute of Technology and Sciences, Coimbatore (Tamil Nadu), India.
Manuscript received on 16 August 2019 | Revised Manuscript received on 28 August 2019 | Manuscript Published on 06 September 2019 | PP: 513-517 | Volume-8 Issue- 6S, August 2019 | Retrieval Number: F11040886S19/19©BEIESP | DOI: 10.35940/ijeat.F1104.0886S19
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© 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: Detection of brain tumor from Magnetic Resonance Image (MRI) image has become one of the most active researches in the field of medical image processing. Segmentation and Detection of tumor play a major role in biomedical imaging. In this research, tumor segmentation process is done with MR brain image. The proposed method contain image pre processing, image enhancement using Contrast Limited Adaptive Histogram Equalization (CLAHE) and segmentation with multi atlas matching and detection of tumor. The proposed work segment the tumor region precisely from the MR brain image. The experimental result gives an average of 0.85 Dice Similarity Co efficient (DSC), which indicates that the proposed method is efficient in segmentation and detection of the tumor region from the MR brain image.
Keywords: Image Enhancement, Image Fusion, MR Images, Atlas Matching, PSNR.
Scope of the Article: Image Security