Morphology Based Melanoma Skin Segmentation Method

Abstract

One of the five sense organs, the skin is the biggest organ in the human body. The human body is protected from heat, sunlight, and harm by the skin. Recently, skin cancer has become one of the most lethal forms of cancer; skin cancer is one of the most severe cancers that may be detected in people. Melanoma, basal cell carcinoma, and squamous cell carcinoma are all forms of skin cancer, but melanoma is the most unexpected. Melanoma cancer can be successfully treated if it is discovered early enough. Having too much sun exposure is the primary cause of this condition. In order to catch an aggressive form of skin cancer in its early stages, image-based computer aided diagnostic methods can be used. Malignant melanoma can be detected using these image processing systems. Noise and other structures, such as hair, are removed during processing of the acquired original image. Principal Component Analysis and Morphological operators are mostly used to extract features in this process. This algorithm can be used on Matlab R2015b or higher end. With this effort, we hope to remove and outline the skin lesion so that it can be detected earlier and treated sooner, potentially saving lives.