Study of Image Segmentation On MRI Images for Brain Tumour Detection

Authors

  • K. Alviya Babu Department of Computer Applications, Saintgits College of Applied Sciences, Pathamuttom, India
  • Flavya Shaiby Department of Computer Applications, Saintgits College of Applied Sciences, Pathamuttom, India
  • Josmy Mathew Department of Computer Applications, Saintgits College of Applied Sciences, Pathamuttom, India

Keywords:

MRI, Image segmentation, Brain tumour detection

Abstract

Latterly, researches on diagnosis or segmentation of brain tumors are easy with the help of MRI scans. This identification of the tumour can be done through MRI scans. The brain tumor is generated from the instant areas of the brain. Initially in diagnosing, the brain form is managed and checks the abnormalities. The second step includes segmentation that is morphological operation. Due to the composite structure of the brain, it is important to detach the tumour. The criterion for the removal of the tumor includes configuration, form, dimensions and image position. Image processing is an approach which is used for conversion of a picture into digital format. And then some tasks are carried out to get a preferable image data. In this task an image is inserted and proper algorithms are performed. The output can be anything like a picture or data. Image processing is a less time-consuming technique. One of the important steps in image processing is segmentation in different parts of an image. Each part provides useful information. Hence it is dominant to segmentize the fringes.

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Published

2021-03-31

How to Cite

[1]
K. A. Babu, F. Shaiby, and J. Mathew, “Study of Image Segmentation On MRI Images for Brain Tumour Detection”, IJRESM, vol. 4, no. 3, pp. 131–133, Mar. 2021.

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Articles