Detection of Melanoma Skin Diesease using Dermoscopy Images
Journal Title: International Journal of Electronics Communication and Computer Technology - Year 2014, Vol 4, Issue 3
Abstract
Melanoma is a type of skin disease and is much more dangerous than the other type of skin cancer. The disease can be cured, when it is diagnosed in its early stage. The early diagnosis is difficult using conventional dermatological methods. Non-invasive diagnosis of melanoma is possible by image processing techniques. Accurate segmentation of skin lesions using dermoscopy images is a challenging task. This paper proposes an efficient image segmentation algorithm using radial search technique to extract the true border of dermoscopy skin images containing lesions. The segmentation algorithm is based on thresholding and finds edges in the image using radial search. The radial search method is a semiautomatic method and needs manual initialization of search origin. Asymmetry, border and color are the features extracted from segmented image. The results shows that this method can be further developed as an assistive tool for detection and classification of melanoma using dermoscopy images.
Authors and Affiliations
Nandini M. N. | Department of Instrumentation Technology S.J. College of Engineering Mysore, India, M. S. Mallikarjunaswamy| Department of Instrumentation Technology S.J. College of Engineering Mysore, India
Keywords
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