Segmentation of Brain Tumor Images using Hybrid Clustering Technique

Authors(3) :-C. Kuyin, M. Poornima, S. Sweetline

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.

Authors and Affiliations

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

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

Publication Details

Published in : Volume 3 | Issue 1 | January-February 2018
Date of Publication : 2018-02-28
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 1087-1092
Manuscript Number : CSEIT1831252
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

C. Kuyin, M. Poornima, S. Sweetline, "Segmentation of Brain Tumor Images using Hybrid Clustering Technique", International 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.
Journal URL : http://ijsrcseit.com/CSEIT1831252

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