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Bio-Algorithms and Med-Systems

Editor-in-Chief: Roterman-Konieczna , Irena


CiteScore 2018: 0.29

SCImago Journal Rank (SJR) 2018: 0.129
Source Normalized Impact per Paper (SNIP) 2018: 0.324

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1896-530X
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Hair removal from dermoscopic color images

Joanna Jaworek-Korjakowska
  • Corresponding author
  • Department of Automatics and Biomedical Engineering, AGH University of Science and Technology, Biocybernetics Laboratory, al. A. Mickiewicza 30, 30-058 Krakow, Poland
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/ Ryszard Tadeusiewicz
  • Department of Automatics and Biomedical Engineering, AGH University of Science and Technology, Biocybernetics Laboratory, al. A. Mickiewicza 30, 30-058 Krakow, Poland
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
Published Online: 2013-05-31 | DOI: https://doi.org/10.1515/bams-2013-0013

Abstract

Skin cancer is the most commonly diagnosed type of cancer in people, regardless of age, gender, or race. One of the most common malignant skin cancers is melanoma, which is a dangerous proliferation of melanocytes. It is a well-known fact that early diagnosis of skin cancer is crucial and allows for successful treatment. Treatment of melanoma is not effective when melanoma is at an advanced stage. A widely used tool for the examination of skin lesions is a dermatoscope, which uses optic magnification to visualize features that are invisible to the naked eye. For a precise and objective diagnosis, there is a need for a computerized method for the removal and inpainting of hairs in image processing. In this study, we present an algorithm for the detection and inpainting of hairs in color dermoscopic images.

Keywords: dermoscopy; hair removal; image inpainting; skin cancer; top-hat transform

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About the article

Corresponding author: Joanna Jaworek-Korjakowska, Department of Automatics and Biomedical Engineering, AGH University of Science and Technology, Biocybernetics Laboratory, al. A. Mickiewicza 30, 30-058 Krakow, Poland


Received: 2013-03-18

Accepted: 2013-04-30

Published Online: 2013-05-31

Published in Print: 2013-06-01


Citation Information: Bio-Algorithms and Med-Systems, Volume 9, Issue 2, Pages 53–58, ISSN (Online) 1896-530X, ISSN (Print) 1895-9091, DOI: https://doi.org/10.1515/bams-2013-0013.

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