Skin Disease Detection using Image Processing and Machine Learning

In these modern times, due to air pollution human skin is affected in many ways and these have become the most prevalent diseases worldwide. It may cause diseases like Actinic keratosis, Melanoma, Psoriasis, Eczema Skin disease is the fourth leading cause of non-toxic disease globally, affecting 7.9–60% of individuals in all age groups. The advancement of medical technology has led easier ways in identification of these diseases but the cost of such diagnosis is very expensive and limited. So, Image processing techniques guide to build computerized screening systems at initial stage. In this research work, we have come with a method to identify and classify the diseases. The implementation of the project consists of a dual stage approach to detect skin diseases based on their classification and severity. The second stage involves the training and testing of images using Naive- Bayes classifier to identify the skin disease.