ABSTRACT

with generation of huge volume of patient data and advent of modern medical devices, large quantities of medical images are being generated. This has led to development of systems which can automatically compare, classify and index these medical images for future use. Non availability of efficient medical image classification systems have been a primary cause for under utilization of available medical image repositories. The current study investigates the efficiency of medical image transformation to frequency domain using the Fast Hilbert Transform and subsequently classification of the same using decision tree algorithms