Extraction of acne lesion in acne patients from multispectral images

Annu Int Conf IEEE Eng Med Biol Soc. 2008:2008:4078-81. doi: 10.1109/IEMBS.2008.4650105.

Abstract

In acne treatment, it is important to accurately evaluate the severity of Acne. The acne should be classified into several skin lesions including comedo, reddish papule, pustule, and scar. However, in some cases, a visual detection from RGB image maybe difficult for the proper evaluation of acne skin lesions. This paper proposes an extraction method using the spectral information of the various type of acne skin lesions calculated from the multispectral images (MSI) of the lesions. In the experiment, we showed the possibility of classifying acne lesion types by applying a combination of several linear discriminant functions (LDF's).

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Acne Vulgaris / diagnosis*
  • Acne Vulgaris / physiopathology
  • Algorithms
  • Dermatology / methods
  • Diagnosis, Computer-Assisted / methods*
  • Equipment Design
  • Face
  • Humans
  • Image Processing, Computer-Assisted / methods*
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Signal Processing, Computer-Assisted
  • Skin / pathology*
  • Spectrophotometry / methods