Segmentation of Brain Tumor Images using Hybrid Clustering Technique

Authors

  • C. Kuyin  Assistant Professor, Department of Commerce with Computer Applications, Jayaraj Annapackiam College for Women (Autonomous), Periyakulam, Tamilnadu, India
  • M. Poornima  Assistant Professor, Department of Commerce with Computer Applications, Jayaraj Annapackiam College for Women (Autonomous), Periyakulam, Tamilnadu, India
  • S. Sweetline  Student, II B.Com (CA), Department of Commerce with Computer Applications, Jayaraj Annapackiam College for Women (Autonomous), Periyakulam, Tamilnadu, India

Keywords:

Medical image segmentation; Brain tumor segmentation; K-means clustering; Fuzzy C-means; Expectation Maximization

Abstract

Image segmentation refers to the process of partitioning an image into mutually exclu-sive regions. It can be considered as the most essential and crucial process for facilitating the delin-eation, characterization, and visualization of regions of interest in any medical image. Despite intensive research, segmentation remains a challenging problem due to the diverse image content, cluttered objects, occlusion, image noise, non-uniform object texture, and other factors. There are many algorithms and techniques available for image segmentation but still there needs to develop an efficient, fast technique of medical image segmentation.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-02-28

Issue

Volume 3, Issue 1, January-February-2018

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
C. Kuyin, M. Poornima, S. Sweetline, " Segmentation of Brain Tumor Images using Hybrid Clustering Technique, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 1, pp.1087-1092, January-February-2018.