A Survey on Detection, Recognition, Segmentation and Classification of Brain Tumor
P.Harish1, S.Baskar2
1Mr. P. Harish, Research Scholar PT, Assistant Professor, Department of EEE, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai (Tamil Nadu), India.
2Dr S. Baskar, Professor, Department of Electrical & Electronics Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai (Tamil Nadu), India.
Manuscript received on 22 April 2019 | Revised Manuscript received on 01 May 2019 | Manuscript Published on 05 May 2019 | PP: 249-254 | Volume-8 Issue-2S2, May 2019 | Retrieval Number: B10520182S219/19©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: In the human body the brain is the most significant organ as it controls all the functions of human. Due to few abnormal conditions, unhealthy and unrestrained growth of tissue occurs which is referred as an uncommon action. This sort of action which occurs in the brain is called as brain tumor. It is significant to detect this tumor in order to minimize the death of humans affected by tumor. Cancerous cells detection is the most complex and long term process in medical image processing. Magnetic Resonance Imaging (MRI) is a methodology widely utilized owing to its significant features. MRI provides plenty of information in the tumor detection. MRI image is segmented with high rate of accuracy then tumor is classified whether it is malignant or benign. Because of the complexity and changes in the characteristics of tumor like its shape and size. This paper elaborates the numerous researches for tumor recognition, segmentation and classification of previously proposed methods highlighting its strength and limitations. There is a scope for further to recognize tumor and good image quality. Processing medical images to find solution to different issues by a computer with new algorithms has been drawing a very significant focus of the researchers over last few decades. A literature survey about diagnosis of brain tumor presented in this paper provides critical evaluation of the survey which inhibits new research.
Keywords: MRI, Image Enhancement Image Segmentation, Image Registration, Multi -Resolution.
Scope of the Article: Classification