Review Paper on Skin Disease Detection Using Machine Learning and Image Processing

Abstract

Skin illness is the most common sickness on the planet. When diagnosing skin disorders, dermatologists must have a high level of competence and accuracy, so a computer- aided skin disease diagnosis model is presented as a more objective and reliable solution. Many research have been carried out to aid in the diagnosis of skin diseases such skin cancer and tumours. However, due to factors such as low contrast between lesions and skin, visual similarity between the Disease and non- Disease parts, and so on, correct disease recognition is highly difficult. This study aims to detect skin disease from a skin image and analyse it by applying a filter to remove noise and unwanted items, changing the image to grey to aid processing, and extracting useful information. This can be used to indicate emergency preparedness and provide proof of any type of skin disease.