期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2015
卷号：4
期号：10
页码：3925-3929
出版社：Shri Pannalal Research Institute of Technolgy
摘要：In this Project, a valuable technique or method is proposed for the precise segmentation of normal, abnormal and pathological tissues in the MRI brain images. The segmentation technique performs classification process by using K- means clustering. This propose a HSV approach for classification of brain magnetic resonance images (MRI) based on color converted K- means clustering segmentation algorithm. Segmentation of images shows an important position in the area of image processing. It becomes more critical while typically handling with medical images. A well known segmentation problem within MRI is the task of labeling voxels according to their tissue type which include White Matter (WM), Grey Matter (GM) , Cerebrospinal Fluid (CSF) and sometimes pathological tissues like tumor etc. This paper describes an efficient method for automatic brain tumor segmentation.
