In skin cancer detection, preprocessing step can be divided into image enhancement, image restoration and artifact removal. Each stage includes different techniques which will be discussed in this paper. Furthermore, the selection of preprocessing techniques depends on the subsequence methods which have been selected for the automaton system. The mean and median filters, and speckle noise filters are as the most popular pre-processing techniques.
Image pre-processing is an essential step of detection in order to remove noises and enhance the quality of original mage. It required to be applied to limit the search of abnormalities in the background influence on the result. The main purpose of this step is to improve the quality of melanoma image by removing unrelated and surplus parts in the back ground of image for further processing. Good selection of preprocessing techniques can greatly improve the accuracy of the system .The total framework of techniques followed in preprocessing stage of medical image processing is illustrated.
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