CLAHE Inspired Segmentation of Dermoscopic Images Using Mixture of Methods

  • Damilola A. Okuboyejo
  • Oludayo O. Olugbara
  • Solomon A. Odunaike
Conference paper

Abstract

The overarching objective of this study is to segment lesion areas of the surrounding healthy skin. The localization of the actual lesion area is an important step towards the automation of a diagnostic system for discriminating between malignant and benign lesions. We have applied a combination of methods, including intensity equalization, thresholding, morphological operation and GrabCut algorithm to segment the lesion area in a dermoscopic image. The result shows that the approach used in the study is effective in localizing lesion pixels in a dermoscopic image. This would aid the selection of discriminating features for the classification of malignancy of a given dermoscopic image.

Keywords

Automation CLAHE Diagnosis Lesions Melanoma Segmentation 

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Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  • Damilola A. Okuboyejo
    • 1
  • Oludayo O. Olugbara
    • 2
  • Solomon A. Odunaike
    • 1
  1. 1.Department of Software EngineeringTshwane University of TechnologyPretoriaSouth Africa
  2. 2.Department of Information TechnologyDurban University of TechnologyDurbanSouth Africa

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