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Srinivas Yarramalle


With the increase in the number of cases pertaining to medical diseases, medical image processing became one of the most important sub-areas in the field of image processing. Many applications of medical image processing are highlighted in the earlier works. However, in this article, we confine towards the study of fracture detection using model-based approaches. The medical data of the bone fracture cases are obtained from the x-rays available at MVP Hospital and the automation of fracture detection methodology was carried out on a real-time medical data by understanding the human skeletal system, bone and fractures. The data is tested using metrics like a signal to noise ration, MSE, image fidelity.


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Author Biographies

Shanthi Raju Lanka, GITAM

Research Scholar, Department of Information Technology

Srinivas Yarramalle, GITAM

Head of the Department, Department of Information Technology


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