Accurate Segmentation of Dermoscopic Images by Image Thresholding Based on Type-2 Fuzzy Logic

A novel thresholding-based segmentation approach for accurate segmentation of pigmented skin lesion images regarding malignant melanoma diagnosis has been proposed. The presented approach utilizes type-2 fuzzy logic techniques for automatic threshold determination. The method is applied on various clinically obtained lesion images, and the results are compared with those obtained with two other popular methods from the literature. It is observed that the presented method exhibits superior performance over competing methods and is very successful at handling the uncertainty encountered in determining the border between the lesion and the skin.