Infrared (IR) radiation is emitted by all objects above zero Kelvin. Since humans are warm blooded they emit infrared radiation. Oxygen saturation is an indicator of disease in humans, based on this oxygen level infrared radiation varies. When oxygen to a body region increases the metabolism in that region is increased which leads to an increase in temperature along that region, due to this increased temperature profile infrared radiation in that region gets increased. Similarly decrease of oxygen to a region leads to reduced metabolism which gives a decrease in temperature profile and infrared radiation. So finding out the intensity variation in the image will leads to the oxygen variation in human body. In this paper an analysis is made by providing an user defined threshold values to the pixels in an image to represent the regions related to its intensity, three threshold values of 0.5, 0.75, 0.9 are used to classify less oxygenated regions in the arthritis patient and higher oxygenated regions in hypothyroidism patient. This allows finding out the disease severity and the regions with similar condition in the given infrared image taken from the patient. Diagnosis and prognosis is done from the infrared images by processing the images.
展开▼
