Abstract: The cerebrum or brain is the front most part of the central nervous system. The area of tumours in the cerebrum is one of the components that decide how a brain tumour impacts an individual's working furthermore, what side effects the tumour causes. Alongside the Spinal rope, it frames the Central Nervous System (CNS). Brain tumour is an unusual development created by cells replicating themselves in an uncontrolled way. Magnetic Resonance Imaging (MRI) is the generally utilized gadget for finding. In MR pictures, the measure of information is a lot for manual understanding and examination. Amid recent years, brain tumour segmentation in magnetic resonance imaging (MRI) has turned into a rising exploration area in the field of medical imaging system. Exact discovery of size and area of cerebrum tumour assumes an imperative part in the conclusion of tumour. In this paper we have done a comparative study of various computer based brain tumour detection method. This paper also discusses the limitation and strength of various algorithms proposed by researchers time to time in this area of medical imaging.

Keywords: brain tumour, Region growing, MRI, segmentation, Texture analysis, Edge detection etc.