Image processing-based automatic pupillometry on infrared videos

György Kalmár, Alexandra Büki, G. Kékesi, G. Horváth, L. Nyúl

Research output: Contribution to journalArticle

Abstract

Pupillometry is a non-invasive technique that can be used to objectively characterize pathophysiological changes involving the pupillary reex. It is essentially the measurement of the pupil diameter over time. Here, specially designed computer algorithms provide fast, reliable and reproducible solutions for the analysis. These methods use a priori information about the shape and color of the pupil. Our study focuses on measuring the diameter and dynamics of the pupils of rats with schizophrenia using videos recorded with a modified digital camera under infrared (IR) illumination. We developed a novel, robust method that measures the size of a pupil even under poor circumstances (noise, blur, reections and occlusions). We compare our results with measurements obtained using manual annotation.

Original languageEnglish
Pages (from-to)599-613
Number of pages15
JournalActa Cybernetica
Volume23
Issue number2
DOIs
Publication statusPublished - Jan 1 2017

Fingerprint

Image Processing
Image processing
Infrared
Infrared radiation
Digital Camera
Digital cameras
Robust Methods
Occlusion
Fast Algorithm
Annotation
Rats
Illumination
Lighting
Color
Schizophrenia
Rat

Keywords

  • Energy attenuation
  • Pupillometry
  • Ray propagation

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computational Theory and Mathematics

Cite this

Image processing-based automatic pupillometry on infrared videos. / Kalmár, György; Büki, Alexandra; Kékesi, G.; Horváth, G.; Nyúl, L.

In: Acta Cybernetica, Vol. 23, No. 2, 01.01.2017, p. 599-613.

Research output: Contribution to journalArticle

Kalmár, György ; Büki, Alexandra ; Kékesi, G. ; Horváth, G. ; Nyúl, L. / Image processing-based automatic pupillometry on infrared videos. In: Acta Cybernetica. 2017 ; Vol. 23, No. 2. pp. 599-613.
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