TY - JOUR A2 - Cuevas, Erik AU - Olugbara, Oludayo O. AU - Taiwo, Tunmike B. AU - Heukelman, Delene PY - 2018 DA - 2018/02/13 TI - Segmentation of Melanoma Skin Lesion Using Perceptual Color Difference Saliency with Morphological Analysis SP - 1524286 VL - 2018 AB - The prevalence of melanoma skin cancer disease is rapidly increasing as recorded death cases of its patients continue to annually escalate. Reliable segmentation of skin lesion is one essential requirement of an efficient noninvasive computer aided diagnosis tool for accelerating the identification process of melanoma. This paper presents a new algorithm based on perceptual color difference saliency along with binary morphological analysis for segmentation of melanoma skin lesion in dermoscopic images. The new algorithm is compared with existing image segmentation algorithms on benchmark dermoscopic images acquired from public corpora. Results of both qualitative and quantitative evaluations of the new algorithm are encouraging as the algorithm performs excellently in comparison with the existing image segmentation algorithms. SN - 1024-123X UR - https://doi.org/10.1155/2018/1524286 DO - 10.1155/2018/1524286 JF - Mathematical Problems in Engineering PB - Hindawi KW - ER -