Dullrazor®: A software approach to hair removal from images

Tim Lee, Vincent To Yee Ng, Richard Gallagher, Andrew Coldman, David McLean

Research output: Journal article publicationJournal articleAcademic researchpeer-review

284 Citations (Scopus)

Abstract

Recently, there has been a growing number of studies applying image processing techniques to analyze melanocytic lesions for atypia and possible malignancy and for total-body mole mapping. However, such lesions can be partially obscured by body hairs. None of these studies has fully addressed the problem of human hairs occluding the imaged lesions. In our previous study we designed an automatic segmentation program to differentiate skin lesions from the normal healthy skin, and learned that the program performed well with most of the images, the exception being those with hairs, especially dark thick hairs, covering part of the lesions. These thick dark hairs confused the program, resulting in unsatisfactory segmentation results. In this paper, we present a methods to remove hairs from an image using a pre-processing program we have called DullRazor®. This pre-processing step enables the segmentation program to achieve satisfactory results DullRazor® can be downloaded as shareware from http://www.derm.ubc.ca.
Original languageEnglish
Pages (from-to)533-543
Number of pages11
JournalComputers in Biology and Medicine
Volume27
Issue number6
DOIs
Publication statusPublished - 1 Nov 1997

Keywords

  • Adaptive median filter
  • Grayscale morphology
  • Hair removal
  • Image processing
  • Skin imaging

ASJC Scopus subject areas

  • Computer Science Applications
  • Health Informatics

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