Nowadays the main technique used by dermatologists to diagnose skin lesions, and thus to detect melanoma is dermoscopy. This procedure is non-invasive and uses special tools like the dermatoscopic stereomicroscope or other digital imaging systems.
These tools enhance the image of 10-20 times and visualize structural model and skin pigmentation located deeper than can be seen with the naked eye. Using dermoscopy the accuracy of detection of melanoma can increase with more than 30% if dermatologists are properly trained in the use of medical devices [1]. Most imaging devices used to assess the risk factor of pigmented skin areas are able to connect to digital cameras, and thus the captured images can be save and archived. Saving images captured using dermoscopy allow objective evaluation of the risk factor by implementing the ABCDE rule criteria using image processing algorithms. Based on the dermatology ABCDE rule a significant amount of studies have proven that the quantification of tissue lesion features may be of essential importance in clinical practice, because several tissue lesions can be identified based on measurable features extracted from a digital image