Analysis of Brain Tumor Images Using K-Mean Clustering Algorithm

Authors

  • Mayuri Raviya M.E. (I.C.) Student, Dept. of Instrumentation & Control Engineering /Atmiya Institute of Technology and Science/Rajkot/Gujara t/India.
  • Ankit Kumar Professor / Atmiya Institute of Technology and Science/Rajkot/Gujarat/India
  • Jimit Talati Assistant Professor / Atmiya Institute of Technology and Science/Rajkot/Gujarat/India.

Keywords:

k-Means clustering, MRI images, segmentation

Abstract

This paper deals with the implementation of
K-mean clustering Algorithm. K-Means clustering is an
unsupervised clustering technique that has been
extensively used in image segmentation.Tumor is an
uncontrolled development of tissues in any part of the
body.Segmentation is the task of recognize objects in an
image. There is not a single image segmentation algorithm
which be able to give the best result for every image.
According to the type of image a proper approach is to be
select to achieve accurate segmentation.

Published

2022-08-23

How to Cite

Analysis of Brain Tumor Images Using K-Mean Clustering Algorithm. (2022). International Journal of Advance Engineering and Research Development (IJAERD), 2(14), -. https://www.ijaerd.org/index.php/IJAERD/article/view/5796

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