Certain Investigation on Image Classification and Segmentation using Different Techniques
M. Brindha1, K. Saranya2, S. Rajesh3
1M. Brindha, Assistant Professor, Department of Computer Science, Sri Ramakrishna Institute of Technology, Coimbatore (Tamil Nadu), India.
2K. Saranya, Assistant Professor, Department of Computer Science, Sri Ramakrishna Institute of Technology, Coimbatore (Tamil Nadu), India.
3S. Rajesh, Assistant Professor, Department of Computer Science, Sri Ramakrishna Institute of Technology, Coimbatore (Tamil Nadu), India.
Manuscript received on 10 December 2016 | Revised Manuscript received on 18 December 2016 | Manuscript Published on 30 December 2016 | PP: 71-73 | Volume-6 Issue-2, December 2016 | Retrieval Number: B4798126216/16©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: A brain cancer is a tissue that structured by an addition of anomalous cells and important to detect and classify brain tumors from MRI (Magnetic Resonance Imaging) for treatment. Brain tumor segmentation and classification is considered to be more important tasks in medical imaging. MRI is used for the study of the human brain. A fully automated method plays an important role in the prediction of brain cancer. In this review paper, different classification and segmentation techniques are discussed.
Keywords: Image Segmentation, Classification and Mining Techniques.
Scope of the Article: Classification