Melanoma Detection by Automated Reconfiguration System Using Local Binary Pattern

Abstract

The biggest organ in the body is the human skin. Its weight is between six and nine pounds, and its surface area is roughly two square yards. The body's internal organs and the outside world are separated from one another by the skin. Dermoscopy technology was developed to improve melanoma diagnosis, a type of cancer that often starts in skin pigment cells (melanocytes). Dermoscopy, a non-invasive skin imaging technique, is used to acquire an image of a section of skin that has been enlarged and illuminated in order to make the skin spots more visible. Skin-related conditions are the most prevalent diseases worldwide. Despite being prevalent, its diagnosis is exceedingly challenging and necessitates a wealth of expertise in the field. To precisely identify the disease, we employ a dual stage methodology that successfully blends Computer Vision on clinically assessed histological features. First, several pre-processing techniques are used to the skin disease image, and then feature extraction is done. Key Word: DIP, MATLAB, Diagnose, Melanoma