A hybrid system for skin lesion detection: Based on gabor wavelet and support vector machine
Australia is one of many countries in which skin cancer is simply “wide spread” in comparison to other types of cancer  . Researchers have found that Australian melanoma rates are the highest globally at almost four times the rates seen in Canada, the United Kingdom and the United States. Skin cancer costs the health system around $300 million Australian dollars annually, the highest cost of all cancers. Melanoma has near 95% cure rate if detected and treated in its early stages . This study proposes an automated system for discrimination between melanocytic nevi and malignant melanoma. The general approach of developing a Computer Aided Diagnostic system for the diagnosis of skin cancer is to find the location of a lesion and also to determine an estimate of the probability of a disease. As mentioned in the literature the digital images are often corrupted during acquisition and transmission . Filters are then very important as pre-processing tools.