Entropy-Based Colour Splitting in Dermoscopy Images to Identify Internal Borders

In this proposed method various entropy-based methods for colour segmentation within a lesion in a dermoscopy image is generated. Four entropy segmentation methods are based on Tsallis, Havrda and Charvat, Renyi, and Kapur entropy measures. Fifth method is based on merging these four segmented image on the ascending order of threshold. By this the merged image helps to vision internal border on the lesion region for dermatologist. These methods are inspired by two clinical observations about melanoma. First, colours within a lesion provide the most useful measures for melanoma detection; second, the disorder in colour variety and arrangement, provides the best assessment of melanoma colours. These observations lead to the hypothesis that colour disorder is best measured by entropy.