Abstract
Medical image processing is the most challenging an d emerging field now a day’s processing of MRI imag es is one of the parts of this field. The quantitative analysis of MRI brain tumor allows obtaining useful key indicators of disease progression. This is a computer aided diagnosis systems for detecting malignant tex ture in biological study. This paper presents an ap proach in computer-aided diagnosis for early prediction of brain cancer usin g Texture features and neuro classification logic. This paper describes the proposed strategy for dete ction; extraction and classification of brain tumou r from MRI scan images of brain; which incorporates segmentation and morpholo gical functions which are the basic functions of im age processing. Here we detect the tumour, segment the tumour and we calcul ate the area of the tumour. Severity of the disease can be known, through classes of brain tumour which is done through neuro fuzzy cand creating a user friendly environment using GUI in MATLAB. In this paper cases of 10 patients is taken and severity of disease is shown and different features of images are calculated.
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