Skin Lesion Analysis - Feature Extraction Methods Using Dermoscopy Image

Skin malignancy is viewed as one of the most perilous type of disease found inhuman. Skin malignant growth is found in different types such as Squamous cellcarcinoma, Basal and most erratic Melanoma. Early detection of skin malignancy isfundamental wellbeing prerequisite for the patient and a basic errand for thedermatologist. The genuine reasoning is that the possibility of patient's endurance is highwhenever analyzed early and can save victims and spare casualties. The advancement inpresent technologies have been explored to utilize automated and mechanized frameworkfor skin lesion analysis. Skin lesion analysis has various significant diagnostic featureparameters such as color, area perimeter, diameter and texture parameters such as size,shape and depth. In the diagnosis of dermoscopic images, the non-infected and malignantskin lesion is classified using feature and texture parameters. In this paper variousdermoscopy image analysis strategies have been surveyed, to investigate and choose afitting technique for early detection of skin ailments. This survey work will be a pathway toresearcher and clinical specialists.