%0 Journal Article %A Sheema Shuja Khattak and Gule Saman and Imran Khan and Abdus Salam %D 2015 %J International Journal of Computer and Information Engineering %B World Academy of Science, Engineering and Technology %I Open Science Index 101, 2015 %T Maximum Entropy Based Image Segmentation of Human Skin Lesion %U https://publications.waset.org/pdf/10001173 %V 101 %X Image segmentation plays an important role in medical imaging applications. Therefore, accurate methods are needed for the successful segmentation of medical images for diagnosis and detection of various diseases. In this paper, we have used maximum entropy to achieve image segmentation. Maximum entropy has been calculated using Shannon, Renyi and Tsallis entropies. This work has novelty based on the detection of skin lesion caused by the bite of a parasite called Sand Fly causing the disease is called Cutaneous Leishmaniasis. %P 1087 - 1091