Skin Hair Removal in Dermoscopic Images Using Soft Color Morphology

  • Pedro BibiloniEmail author
  • Manuel González-Hidalgo
  • Sebastia Massanet
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10259)


Dermoscopic images are useful tools towards the diagnosis and classification of skin lesions. One of the first steps to automatically study them is the reduction of noise, which includes bubbles caused by the immersion fluid and skin hair. In this work we provide an effective hair removal algorithm for dermoscopic imagery employing soft color morphology operators able to cope with color images. Our hair removal filter is essentially composed of a morphological curvilinear object detector and a morphological-based inpainting algorithm. Our work is aimed at fulfilling two goals. First, to provide a successful yet efficient hair removal algorithm using the soft color morphology operators. Second, to compare it with other state-of-the-art algorithms and exhibit the good results of our approach, which maintains lesion’s features.


Dermoscopy Hair removal Soft color morphology Black top-hat Curvilinear objects Inpainting 



The Spanish grants TIN 2016-75404-P AEI/FEDER, UE and TIN 2013-42795-P partially supported this work. P. Bibiloni also benefited from the fellowship FPI/1645/2014 of the Conselleria d’Educació, Cultura i Universitats of the Govern de les Illes Balears under an operational program co-financed by the European Social Fund.


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Pedro Bibiloni
    • 1
    Email author
  • Manuel González-Hidalgo
    • 1
  • Sebastia Massanet
    • 1
  1. 1.SCOPIA, Department of Mathematics and Computer ScienceUniversity of the Balearic IslandsPalmaSpain

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