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Melanoma incidence rates have been increasing for the past three decades. The most important risk factor for Melanoma skin cancer is unprotected exposure to UV radiation. However, early diagnosis of malignant melanoma increases the chances for cure significantly. Therefore a real time image analysis system to aid in the malignant melanoma prevention and early detection is highly in-demand. In this paper, we propose a real time image analysis system to aid in the malignant melanoma prevention and early detection. We present an image recognition technique, where the user will be able to capture skin images of different mole types. Our system will analyze and process the images and alert the user at real-time to seek medical help urgently. This work introduces convenient steps for automating the process of melanoma prevention and detection. Experimental results on a PH2 dermoscopy research database images confirms the efficiency of our system.
Abuzaghleh et al. (Tue,) studied this question.