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Today the design and development of computer assisted User Interface Image processing Systems have been very helpful in detecting and diagnosing the underlying diseases in the early stage. Out of many anomalous diseases, Brain Tumor Diagnosis and treatment has been a challenge to medical as well as to research community. If it is detected at an early stage the chances of saving a life are more. The primary goal of this work is to develop an effective User Interface Image Processing Model via a GUI (Graphical User Interface) for brain tumor detection and segmentation. The methods amalgamated together and investigated here are Fast Bounding Box (FBB) method and Discrete Wavelet Transform (DWT) with Morphology & SVM (Support Vector Machine) Classifiers.

An effective User Interface Image Processing Model for classification of Brain MRI to provide prolific Healthcare