Department of Mathematics
 Search | Help | Login | pdf version | printable version

Math @ Duke



Publications [#264937] of Guillermo Sapiro

Papers Published

  1. Chung, DH; Sapiro, G, Segmenting skin lesions with partial-differential-equations-based image processing algorithms., Ieee Transactions on Medical Imaging, vol. 19 no. 7 (July, 2000), pp. 763-767, ISSN 0278-0062 [11055791], [doi]
    (last updated on 2019/06/20)

    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.
ph: 919.660.2800
fax: 919.660.2821

Mathematics Department
Duke University, Box 90320
Durham, NC 27708-0320