Classification of capillary images based on the average curvature estimation

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Abstract

It is known that, the state of the capillaries represents the health condition. Recently, a device has been developed which can take the image of the capillaries at the base of the nail of the middle finger. If the state of the capillaries can be quantified mathematically, we can use it as an indicator of health. In this report, a level set method is developed to extract the outline of the capillary effectively. We have applied this method to two distinctive types of capillary, and calculated the value of average curvature. The results coincide with the diagnosis of the medical doctor.

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