Adaptable texture-based segmentation by variance and intensity for automatic detection of semitranslucent and pink blush areas in basal cell carcinoma.

Journal: Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)
Published Date: Nov 1, 2016

Abstract

BACKGROUND: Pink blush is a common feature in basal cell carcinoma (BCC). A related feature, semitranslucency, appears as smooth pink or orange regions resembling skin color. We introduce an automatic method for detection of these features based on smoothness and brightness. We also introduce a neighborhood correction method for texture area correction.

Authors

  • S Kefel
    Department of Electrical and Computer Engineering, Southern Illinois University, Edwardsville, IL, USA.
  • S Pelin Kefel
    Department of Electrical and Computer Engineering, Southern Illinois University, Edwardsville, IL, USA.
  • R W LeAnder
    Department of Electrical and Computer Engineering, Southern Illinois University, Edwardsville, IL, USA.
  • R Kaur
    Department of Electrical and Computer Engineering, Southern Illinois University, Edwardsville, IL, USA.
  • R Kasmi
    Department of Electrical Engineering, University of Bejaia, Bejaia, Algeria.
  • N K Mishra
    Stoecker & Associates, Rolla, MO, USA.
  • R K Rader
    Stoecker & Associates, Rolla, MO, USA.
  • J G Cole
    Stoecker & Associates, Rolla, MO, USA.
  • Z T Woolsey
    Stoecker & Associates, Rolla, MO, USA.
  • W V Stoecker
    Stoecker & Associates, Rolla, MO, USA.

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