Nail Image Segmentation for Disease Detection

During modern era digital image processing in medical field is very popular concept. Number of diseases such as cancer, kidney disease, heart disease, brain haemorrhage etc. can be detected by capturing various types of images like MRI, CT Scan, PET, X-ray. Color feature of fingernail is used for disease detection. Various segmentation techniques like k-means segmentation, L*a*b color space, watershade segmentation are used to extract interested region. The segmented area used for the feature extraction and the disease can be detected.