Conference Proceedings

Skin lesion segmentation using Gray Level Co-occurance Matrix

M Hassan, M Hossny, S Nahavandi, A Yazdabadi

2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings | Published : 2017


Skin lesions screening is an effective method for early detection of melanoma. Mostly, melanoma appears as hyper-pigmented area relative to the surrounding skin. Lesion segmentation is an indispensable step for skin lesions analysis. Automated segmentation is used to assist the dermatologist to isolate the suspicious lesion from the surrounding background. Iterative Otsu's method is state-of-art segmentation technique and it has acceptable accuracy. However, iterative methods suffer same drawback, they are time consuming and no guarantee for convergence to the best solution before the maximum iterations limit reached. This paper presents a novel segmentation algorithm using GLCM (Gray Level ..

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University of Melbourne Researchers

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