Simulation of Optical Skin Lesion Images

Abstract

Black-white and colour skin/lesion images are synthesised with known characteristics such as boundary, skin pattern and colour. The skin and lesion textures are modelled by the auto-regressive (AR) process. Black-white skin lesion images are obtained by combining black-white skin and lesion textures under control of known lesion shape and colour skin lesion images are generated by mixing the coloured skin and lesion textures, Artefact images of skin hair and specular reflection are then added. The synthesised images provide the image set for evaluating image processing algorithms.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA412206

Entities

People

  • A. W. Duller
  • P. J. Fish
  • Zhishun She

Organizations

  • Bangor University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Aspect Angle
  • Boundaries
  • Demographic Cohorts
  • Filters
  • Image Processing
  • Image Segmentation
  • Intensity
  • Low Pass Filters
  • Models
  • Noise
  • Random Variables
  • Reflection
  • Simulations
  • Skin Cancer
  • Specular Reflection

Fields of Study

  • Computer science

Readers

  • Chemistry (specifically Chemical Fluorescence)
  • Computer Vision.
  • Oncology and Biomarker-Based Cancer Detection.