  Advances in computing technology have allowed researchers across many fields
of endeavor to collect and maintain vast amounts of observational statistical
data such as clinical data,biological patient data,data regarding access of web
sites,financial data,and the like.Brain Magnetic Resonance
Imaging(MRI)segmentation is a complex problem in the field of medical imaging
despite various presented methods.MR image of human brain can be divided into
several sub regions especially soft tissues such as gray matter,white matter
and cerebrospinal fluid.Although edge information is the main clue in image
segmentation,it can not get a better result in analysis the content of images
without combining other information.The segmentation of brain tissue in the
magnetic resonance imaging(MRI)is very important for detecting the existence
and outlines of tumors.In this paper,an algorithm about segmentation based on
the symmetry character of brain MRI image is presented.Our goal is to detect
the position and boundary of tumors automatically.Experiments were conducted on
real pictures,and the results show that the algorithm is flexible and
convenient.
