Automated digital hair removal by threshold decomposition and morphological analysis

Joost Koehoorn, André C. Sobiecki, Daniel Boda, Adriana Diaconeasa, Susan Doshi, Stephen Paisey, Andrei Jalba, Alexandru Telea

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

15 Citations (Scopus)


We propose a method for digital hair removal from dermoscopic images, based on a threshold-set model. For every threshold, we adapt a recent gap-detection algorithm to find hairs, and merge results in a single mask image. We find hairs in this mask by combining morphological filters and medial descriptors. We derive robust parameter values for our method from over 300 skin images. We detail a GPU implementation of our method and show how it compares favorably with five existing hair removal methods.

Original languageEnglish
Title of host publicationMathematical Morphology and its Applications to Signal and Image Processing - 12th International Symposium, ISMM 2015, Proceedings
EditorsLaurent Najman, Hugues Talbot, Jon Atli Benediktsson, Jocelyn Chanussot
Place of PublicationCham
Number of pages12
ISBN (Print)9783319187198
Publication statusPublished - 1 Jan 2015
Event12th International Symposium on Mathematical Morphology, (ISMM2015) - Reykjavik, Iceland
Duration: 27 May 201529 May 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference12th International Symposium on Mathematical Morphology, (ISMM2015)
Abbreviated titleISMM2015


  • Hair removal
  • Morphology
  • Skeletonization
  • Threshold sets


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