Brain Magnetic Resonance Imaging (MRI) techniques are the kind of diagnostic techniques that are used to analyse and understand the structure of human brain which serves as a starting point in identifying and understanding brain activity and diagnosis and treatment of several neurological disorders. The proposed Optimized Similarity based Hierarchical Clustering (OSBHC) is useful for the segmentation of images of the brain MRI. Hierarchical clustering is useful for data analysis. It catches the full image of the brain in all sides. It is a well proved method. OSBHC has improved segmentation performance and can precisely segment brain tissue,according to the segmentation results of a large number of brain MRI images. The OSBHC technique outperforms other related clustering algorithms in terms of performance and flexibility.

Clustering approach, image segmentation, neurological disorders, MRI images.