Segmenting skin lesions with partial-differential-equations-based image processing algorithms.

Letter

In this paper, a partial-differential equations (PDE)-based system for detecting the boundary of skin lesions in digital clinical skin images is presented. The image is first preprocessed via contrast-enhancement and anisotropic diffusion. If the lesion is covered by hairs, a PDE-based continuous morphological filter that removes them is used as an additional preprocessing step. Following these steps, the skin lesion is segmented either by the geodesic active contours model or the geodesic edge tracing approach. These techniques are based on computing, again via PDEs, a geodesic curve in a space defined by the image content. Examples showing the performance of the algorithm are given.

Full Text

Duke Authors

Cited Authors

  • Chung, DH; Sapiro, G

Published Date

  • July 2000

Published In

Volume / Issue

  • 19 / 7

Start / End Page

  • 763 - 767

PubMed ID

  • 11055791

International Standard Serial Number (ISSN)

  • 0278-0062

Digital Object Identifier (DOI)

  • 10.1109/42.875204

Language

  • eng

Citation Source

  • PubMed