Melanoma spreads by metastasis, and therefore it has to be very fatal. A system to prevent this type of skin cancer, is expected and is highly in demand. It is important that excess exposure to radiation from the sun to mark gradually eroded by melanin in the skin. Furthermore, such radiation penetrate into the skin, thereby destroying the melanocytes. Melanomas are asymmetrical and have irregular edges, notched edges or color variations, so that shape, to analyze the color and texture of the

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... in lesion is important for melanoma detection and prevention. In this work, the components of a portable real-time noninvasive lesion will support analysis system proposed in melanoma prevention and early detection. The first component is a real-time alarm to help users avoid caused by sunlight burns; a new equation, which is the time for the skin to burn introduced thereby calculate. The second component is an automated image analysis including image acquisition, hair-recognition and exclusion, lesion segmentation, feature extraction and classification. The frame is designed in a smart-phone application. The experimental results show that the proposed system is efficient, achieving high classification accuracies.