期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2014
卷号：68
期号：3
出版社：Journal of Theoretical and Applied
摘要：The brain is the foremost most a piece of the focal sensory system. The area of tumors in the brain is one of the elements that figure out how a mind tumor impacts an individual's working and what manifestations the tumor causes. Preparing of attractive thunder images (MRI) is one among the parts of the picture transforming in restorative field, which is the most rising field from past few days. Manual division of mind tumor is lengthy and testing assignment. The tumor discovery is frequently a preparatory stage to take care of the division issue. In this paper, it is described that the detection of the brain tumor using Image Binary Operations. The segmented tumor can be classified using SVM classifier according to the feature values extracted from the segmented image to find performance of proposed approach. Picture division gets more critical while ordinarily managing medicinal images. The proposed procedure could be proficiently connected to discover and concentrate the brain tumor from MRI images acquired from patient's information base. It ends up being convenient instrument for the doctors working in this field. The simulation results show that the proposed approach gives better result than the existing approach such as SOM based image segmentation.
