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2017 | OriginalPaper | Buchkapitel

Analysis of Dermatoses Using Segmentation and Color Hue in Reference to Skin Lesions

verfasst von : Lukasz Was, Piotr Milczarski, Zofia Stawska, Marcin Wyczechowski, Marek Kot, Slawomir Wiak, Anna Wozniacka, Lukasz Pietrzak

Erschienen in: Artificial Intelligence and Soft Computing

Verlag: Springer International Publishing

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Abstract

In dermatology there are several well known algorithms of melanocytic lesions recognition but there are not automated algorithms of skin lesion identification and classification. The main aim of this paper is to examine skin changes based on the skin analysis in the chosen model color spaces. With the help of that analysis, the authors show how to extract information from the skin images that will be useful for a future dermatology expert system. In the paper, the authors introduce a novel clinical feature extraction and segmentation method based on modified dermatologists’ approach to diagnose skin lesions. We have also prepared a database (DermDB) of dermoscopic images with the reference data prepared and validated by expert dermatologists.

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Metadaten
Titel
Analysis of Dermatoses Using Segmentation and Color Hue in Reference to Skin Lesions
verfasst von
Lukasz Was
Piotr Milczarski
Zofia Stawska
Marcin Wyczechowski
Marek Kot
Slawomir Wiak
Anna Wozniacka
Lukasz Pietrzak
Copyright-Jahr
2017
DOI
https://doi.org/10.1007/978-3-319-59063-9_61