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A Review on Nail Image Processing for Disease Detection

Juna V. V., Dinil Dhananjayan

Abstract


There are various parts of human body analyzed for identifying the different effect in human body. Human finger nail analysis is one of the ways to identify disease in human body. Nails are the body part which are farthest from the heart and therefore fare last to receive oxygen. As a result the nails are the first who shows the symptoms of disease in the human body. Finger nails can be easily captured for diagnosis and there are no heavy equipment’s or conditions require for using nail image for disease diagnosis like in other tests and scanning process. Nail is one of the physical investigative tools which are normally practiced in Ayurveda where nail can be a strong indicator of likely complaints happening in the human body. Human nails deliver beneficial information about complaints or any nutritive imbalances dependent upon their shape, texture and color. In a human being, numerous systemic and skin diseases can be easily make a diagnosis through careful examination of nails of both limbs. A lot of nail illnesses have been found to be primary signs of numerous underlying systemic illnesses. The color, texture or shape changes in nails are signs of many diseases mainly affecting nails. And if we are able to use digital image processing methods for identifying such changes in the human nail, then we would be able to get more precise results and predict numerous diseases effortlessly.

 

Keywords: Nail image processing, early detection, nail analysis


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References


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