Skin lesion extraction in dermoscopic images based on colour enhancement and iterative segmentation

Gerald Schaefer*, Maher I. Rajab, M. Emre Celebi, Hitoshi Iyatomi

*Corresponding author for this work

Research output: Chapter in Book/Published conference outputConference publication

Abstract

Accurate extraction of lesion borders is a crucial step in analysing dermoscopic skin lesion images. In this paper we present an effective approach to extracting lesion areas by combining an iterative segmentation algorithm with a preprocessing step that enhances colour information and image contrast. Following the pre-processing, analysis of the image background is conducted by iterative measurements based on median and standard deviation of non-lesion pixels, which in turn facilitates automatic and recurring noise reduction and enhancement. The algorithm does not depend on the use of rigid threshold values as an optimal thresholding algorithm is used to determine the optimal threshold iteratively. Extensive experimental evaluation is carried out on a dataset of 90 dermoscopy images with known ground truths obtained from three expert dermatologists. The results show that our approach is capable of providing good segmentation performance and that the colour enhancement step is indeed crucial as demonstrated by comparison with results obtained from the original RGB images.

Original languageEnglish
Title of host publication2009 16th IEEE International Conference on Image Processing (ICIP)
PublisherIEEE
Pages3361-3364
Number of pages4
ISBN (Print)9781424456543
DOIs
Publication statusPublished - 1 Jan 2009
Event2009 IEEE International Conference on Image Processing, ICIP 2009 - Cairo, United Kingdom
Duration: 7 Nov 200910 Nov 2009

Conference

Conference2009 IEEE International Conference on Image Processing, ICIP 2009
Country/TerritoryUnited Kingdom
CityCairo
Period7/11/0910/11/09

Keywords

  • Colour normalisation
  • Contrast enhancement
  • Dermoscopy
  • Image segmentation
  • Medical imaging
  • Skin cancer

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