Level Sets And Cluster Based Hybrid Approch For The Segmentation And Classification Of Brain Tumors
Segmentation of the brain tumor is an important and very complicated tasks in medical image
processing as it has a huge quantity of data. In this paper, the hybrid approach which uses both level
sets and K -Means Clustering algorithm for the segmentation of brain tumor from MR images is
proposed.The features of benign and malignant are extracted using Power LBP Operatorand NB
classifier to perform the classification of tumors.The experimentis carried out using MR images which
are taken from the standard database. The performance of the proposed algorithm is evaluated using
various performance measures.