📄 IJAERD-OJS-5796
Analysis of Brain Tumor Images Using K-Mean Clustering Algorithm
| Author(s) | : | Mayuri Raviya, Ankit Kumar, Jimit Talati |
| Institution | : | M.E. (I.C.) Student, Dept. of Instrumentation & Control Engineering /Atmiya Institute of Technology and Science/Rajkot/Gujara t/India. |
| Published In | : | Vol. 2, Issue 14 — January 2015 |
| Page No. | : | - |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Abstract
This paper deals with the implementation ofK-mean clustering Algorithm. K-Means clustering is anunsupervised clustering technique that has beenextensively used in image segmentation.Tumor is anuncontrolled development of tissues in any part of thebody.Segmentation is the task of recognize objects in animage. There is not a single image segmentation algorithmwhich be able to give the best result for every image.According to the type of image a proper approach is to beselect to achieve accurate segmentation.
🕮 How to Cite
Mayuri Raviya, Ankit Kumar, Jimit Talati, “Analysis of Brain Tumor Images Using K-Mean Clustering Algorithm”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 2, Issue 14, pp. -, January 2015.
Related Papers
Compact Tunable SIW Cavity Resonator Design for Ku-Band Applications
Hassan Al-Kuwari
