@inproceedings{05e731637dcf4e3bb1a660623641cc9e,
title = "Illumination correction from psoriasis image data",
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. ",
author = "Maletti, \{Gabriela Mariel\} and Ersb{\o}ll, \{Bjarne Kj{\ae}r\}",
year = "2003",
doi = "10.1007/3-540-45103-x\_73",
language = "English",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "549--556",
booktitle = "13th Scandinavian Conference on Image Analysis, Gothenburg, Sweden",
}