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Transactions on Engineering Technologies pp 355–365Cite as

CLAHE Inspired Segmentation of Dermoscopic Images Using Mixture of Methods

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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.

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Author information

Authors and Affiliations

  1. Department of Software Engineering, Tshwane University of Technology, Pretoria, South Africa

    Damilola A. Okuboyejo & Solomon A. Odunaike

  2. Department of Information Technology, Durban University of Technology, Durban, South Africa

    Oludayo O. Olugbara

Authors
  1. Damilola A. Okuboyejo
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  2. Oludayo O. Olugbara
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  3. Solomon A. Odunaike
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Corresponding author

Correspondence to Damilola A. Okuboyejo .

Editor information

Editors and Affiliations

  1. Computer & Communication, Catholic University of DaeGu, DaeGu, Korea, Republic of (South Korea)

    Haeng Kon Kim

  2. IAENG Secretariat, International Association of Engineers, Hong Kong, Hong Kong SAR

    Sio-Iong Ao

  3. College of Engineering, California State Polytechnic University, Pomona, California, USA

    Mahyar A. Amouzegar

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© 2014 Springer Science+Business Media Dordrecht

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Okuboyejo, D.A., Olugbara, O.O., Odunaike, S.A. (2014). CLAHE Inspired Segmentation of Dermoscopic Images Using Mixture of Methods. In: Kim, H., Ao, SI., Amouzegar, M. (eds) Transactions on Engineering Technologies. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-9115-1_27

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  • DOI: https://doi.org/10.1007/978-94-017-9115-1_27

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-017-9114-4

  • Online ISBN: 978-94-017-9115-1

  • eBook Packages: EngineeringEngineering (R0)

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