Kernel fisher discriminant and elliptic shape model for automatic measurement of allergic reactions

  • Authors:
  • Heikki Huttunen;Jari-Pekka Ryynänen;Heikki Forsvik;Ville Voipio;Hisakazu Kikuchi

  • Affiliations:
  • Department of Signal Processing, Tampere University of Technology, Finland;Department of Signal Processing, Tampere University of Technology, Finland;Department of Signal Processing, Tampere University of Technology, Finland;Department of Signal Processing, Tampere University of Technology, Finland;Graduate School of Science and Technology, Niigata University, Japan

  • Venue:
  • SCIA'11 Proceedings of the 17th Scandinavian conference on Image analysis
  • Year:
  • 2011

Quantified Score

Hi-index 0.00

Visualization

Abstract

A semiautomatic segmentation method for images of allergic reactions in skin prick test is proposed. The method is based on elliptic model for the shape of the wheal, and it uses the kernel Fisher discriminant for grayscale projection and for measuring the separability of the object and the background areas. Experiments indicate that the method is robust and the results are close to those obtained manually.