Comprehensive analysis of technique used for classification of diseases using image processing mechanism
Diseases within the human body are common and technology is playing a vital role in the detection and prevention of diseases at early stage. Technology including image processing plays a critical role in the investigation of deadly disease present within brain. For the detection purpose MRI images are used. Preprocessing, segmentation and classification of MRI image is compulsory in the process of disease detection. This paper presents comprehensive analysis of mechanisms used to perform preprocessing and classification of brain tumor using image processing. Comparative table provides the study of techniques yielding optimal result in terms mean square error and peak signal to noise ratio. Better techniques are extracted for future enhancement using this literature.