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A Wide Spread of Algorithms for Automatic Segmentation of Dermoscopic Images

  • Pedro M. Ferreira
  • Teresa Mendonça
  • Paula Rocha
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7887)

Abstract

Currently, there is a great interest in the development of computer-aided diagnosis (CAD) systems for dermoscopic images. The segmentation step is one of the most important ones, since its accuracy determines the eventual success or failure of a CAD system. In this paper, different kinds of algorithms for the automatic segmentation of skin lesions in dermoscopic images were implemented and evaluated, namely automatic thresholding, k-means, mean-shift, region growing, gradient vector flow (GVF), and watershed. The segmentation methods were evaluated with three distinct metrics, using as ground truth a database of 50 images manually segmented by an expert dermatologist. Among the implemented segmentation approaches, the GVF snake method achieved the best segmentation performance.

Keywords

Dermoscopy melanoma skin lesion image segmentation 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Pedro M. Ferreira
    • 1
    • 2
  • Teresa Mendonça
    • 1
    • 3
  • Paula Rocha
    • 2
    • 3
  1. 1.Faculdade de CiênciasUniversidade do PortoPortugal
  2. 2.Faculdade de EngenhariaUniversidade do PortoPortugal
  3. 3.Center for Research Development in Mathematics and ApplicationsPortugal

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