International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064


Downloads: 122

Research Paper | Electronics & Communication Engineering | India | Volume 4 Issue 9, September 2015


Brain Tumour Segmentation Using Clustering Algorithms

Varsha A. Kshirsagar, J. R. Panchal


Abstract: The image segmentation is performed to detect, extract and characterize the anatomical structure. Here, we apply two widely used algorithm for tumour detection (i) K-means clustering (ii) Fuzzy C Means clustering The segmentation algorithms are compared to estimate the efficiency by evaluating the execution time and accuracy of the algorithm. The result shows that the execution time is less in K-Means compared to Fuzzy C Means clustering technique, because the number of iterations of K-Means is less than Fuzzy C Means clustering. Further, the tumour area is calculated for accurate result.


Keywords: Image segmentation, K-Means clustering, Fuzzy C means clustering techniques, Segmentation algorithms


Edition: Volume 4 Issue 9, September 2015,


Pages: 356 - 359


How to Cite this Article?

Varsha A. Kshirsagar, J. R. Panchal, "Brain Tumour Segmentation Using Clustering Algorithms", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=SUB157991, Volume 4 Issue 9, September 2015, 356 - 359

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