Detection of Tumor Objects from MRI Brain Images using Thresholding Segmentation
Sathish Kumar K1, Venkatesh S2
1Sathish Kumar K, Department of Electrical Engineering, VIT University, Vellore (Tamil Nadu), India.
2Venkatesh S, Department of Electrical Engineering, VIT University, Vellore (Tamil Nadu), India.
Manuscript received on 18 December 2019 | Revised Manuscript received on 24 December 2019 | Manuscript Published on 31 December 2019 | PP: 433-437 | Volume-9 Issue-1S3 December 2019 | Retrieval Number: A10781291S319/19©BEIESP | DOI: 10.35940/ijeat.A1078.1291S319
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: Nowadays identification of brain tumor is a critical and challenging work in the research field. We describe the detection of brain tumor by using thresholding segmentation. Segmentation of brain tumor in MRI is developing research works. It is used to identify the tumor shape, size, and exact location. Our proposed system has three stages to detect the brain tumor in MRI. Thresholding technique is developed to detect the brain tumor in MRI. The first stage is to collection MRI data from the web database. The second stage for pre-processing and finally post-processing. The proposed system is less time consuming while compared to other techniques and the medical experts are also easily identify the exact tumor location.
Keywords: MRI (Magnetic Resonance Imaging), Brain Tumor, Thresholding Segmentation, Edge Detection.
Scope of the Article: Image Security