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Automatic Segmentation of Dermoscopic Images by Iterative Classification
2011
International Journal of Biomedical Imaging
Accurate detection of the borders of skin lesions is a vital first step for computer aided diagnostic systems. This paper presents a novel automatic approach to segmentation of skin lesions that is particularly suitable for analysis of dermoscopic images. Assumptions about the image acquisition, in particular, the approximate location and color, are used to derive an automatic rule to select small seed regions, likely to correspond to samples of skin and the lesion of interest. The seed regions
doi:10.1155/2011/972648
pmid:21811493
pmcid:PMC3146984
fatcat:dcjfhmfpjrhdxoqitsog4rf454