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Illumination Correction from Psoriasis Image Data

  • Gabriela Maletti
  • Bjarne Ersbøll
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2749)

Abstract

An approach to automatically correct illumination problems in dermatological images is presented. The illumination function is estimated after combining the thematic map indicating skin -produced by an automated classification scheme- with the dermatological image data. The user is only required to specify which class has the most suitable thematic map to use in the illumination correction. Results are shown for real examples. It is also shown that the classification output improves after illumination correction.

Keywords

Original Image Normal Skin Discrimination Function Circular Window Illumination Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Gabriela Maletti
    • 1
  • Bjarne Ersbøll
    • 1
  1. 1.Department of Informatics and Mathematical ModellingTechnical University of DenmarkKgs. LyngbyDenmark

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