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Automatic Localization of Skin Layers in Reflectance Confocal Microscopy

  • Eduardo Somoza
  • Gabriela Oana CulaEmail author
  • Catherine Correa
  • Julie B. Hirsch
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8815)

Abstract

Reflectance Confocal Microscopy (RCM) is a noninvasive imaging tool used in clinical dermatology and skin research, allowing real time visualization of skin structural features at different depths at a resolution comparable to that of conventional histology [1]. Currently, RCM is used to generate a rich skin image stack (about 60 to 100 images per scan) which is visually inspected by experts, a process that is tedious, time consuming and exclusively qualitative. Based on the observation that each of the skin images in the stack can be characterized as a texture, we propose a quantitative approach for automatically classifying the images in the RCM stack, as belonging to the different skin layers: stratum corneum, stratum granulosum, stratum spinosum, stratum basale, and the papillary dermis. A reduced set of images in the stack are used to generate a library of representative texture features named textons. This library is employed to characterize all the images in the stack with a corresponding texton histogram. The stack is ultimately separated into 5 different sets of images, each corresponding to different skin layers, exhibiting good correlation with expert grading. The performance of the method is tested against three RCM stacks and we generate promising classification results. The proposed method is especially valuable considering the currently scarce landscape of quantitative solutions for RCM imaging.

Keywords:

Reflectance confocal microscopy Image stacks Skin texture Textons Clustering Dimensionality reduction Classification Image recognition 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Eduardo Somoza
    • 1
  • Gabriela Oana Cula
    • 1
    Email author
  • Catherine Correa
    • 1
  • Julie B. Hirsch
    • 1
  1. 1.Johnson and Johnson Consumer Companies, Inc.SkillmanUSA

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