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Volume: 20 | Article ID: art00028
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Automated Pre–processing Method for Dermoscopic Images and its Application to Pigmented Skin Lesion Segmentation
  DOI :  10.2352/CIC.2012.20.1.art00028  Published OnlineJanuary 2012
Abstract

In this paper, we put forward a new pre–processing scheme for automatic analysis of dermoscopic images. Our contributions are two-fold. First, we present a procedure, an extension of previous approaches, which succeeds in removing confounding factors from dermoscopic images: these include shading induced by imaging non-flat skin surfaces and the effect of light-intensity falloff toward the edges of the dermoscopic image. This procedure is shown to facilitate the detection and removal of artifacts such as hairs as well. Second, we present a novel simple yet effective greyscale conversion approach that is based on physics and biology of human skin. Our proposed greyscale image provides high separability between a pigmented lesion and normal skin surrounding it. Finally, using our pre–processing scheme, we perform segmentation based on simple grey-level thresholding, with results outperforming the state of the art.

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Ali Madooei, Mark S. Drew, Maryam Sadeghi, M. Stella Atkins, "Automated Pre–processing Method for Dermoscopic Images and its Application to Pigmented Skin Lesion Segmentationin Proc. IS&T 20th Color and Imaging Conf.,  2012,  pp 158 - 163,  https://doi.org/10.2352/CIC.2012.20.1.art00028

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