Abstract
Segmentation of images holds an important position in the area of image
processing. It becomes more important while typically dealing with
medical images where pre-surgery and post surgery decisions are
required for the purpose of initiating and speeding up the recovery
process Computer aided detection of abnormal growth of tissues is
primarily motivated by the necessity of achieving maximum possible
accuracy. Manual segmentation of these abnormal tissues cannot be
compared with modern day’s high speed computing machines which
enable us to visually observe the volume and location of unwanted
tissues. This paper describes efficient methods for automatic
segmentation of magmatic resonance MR images.