Advanced Skin Diseases Diagnosis Leveraging Image Processing

Air pollution affects human skin in many ways. Skin diseases are common in densely populated regions. These diseases have a devastating impact on people's lives by creating a huge need for the disease diagnosis. The proposed work on skin disease determination system aims for an accurate diagnosls leveraging image processing. The methodology outlined here aims to identify skin disease by scrutinizing the input image. The method involves filtering of the input provided to remove noise. conversion of image to a grayscale image, and image segmentation. Feature extraction is used to minimize the amount of data to be processed by the classifier. The SVM (Support Vector Machine) is then used in the image classification to identify the skin disease. The increased use of technology has led to an efficient and accurate way of diagnosis that aids in curing the disease more expeditiously. Using the proposed method skin diseases such as rosacea, melanoma, psoriasis and acne are identified with a high accuracy of 89%.