LVQ acrosome integrity assessment of boar sperm cells

Nicolai Petkov*, Enrique Alegre, Michael Biehl, Lidia Sánchez

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

11 Citations (Scopus)
74 Downloads (Pure)

Abstract

We consider images of boar spermatozoa obtained with an optical phase-contrast microscope. Our goal is to automatically classify single sperm cells as acrosome-intact (class 1) or acrosome-reacted (class 2). Such classification is important for the estimation of the fertilization potential of a sperm sample for artificial insemination. We segment the sperm heads and compute a feature vector for each head. As a feature vector we use the gradient magnitude along the contour of the sperm head. We apply learning vector quantization (LVQ) to the feature vectors obtained for 152 heads that were visually inspected and classified by a veterinary expert. A simple LVQ system with only three prototypes (two for class I and one for class 2) allows us to classify cells with equal training and test errors of 0.165. This is considered to be sufficient for semen quality control in an artificial insemination center.

Original languageEnglish
Title of host publicationCOMPUTATIONAL MODELLING OF OBJECTS REPRESENTED IN IMAGES: FUNDAMENTALS, METHODS AND APPLICATIONS
EditorsJMRS Tavares, RMN Jorge
Place of PublicationLONDON
PublisherTaylor & Francis Group
Pages337-342
Number of pages6
ISBN (Print)978-0-415-43349-5
Publication statusPublished - 2007
EventInternational Symposium on Computational Modelling of Objects Represented in Images (CompIMAGE 2006) - , Portugal
Duration: 20-Oct-200621-Oct-2006

Publication series

NameProceedings and Monographs in Engineering, Water and Earth Sciences
PublisherTAYLOR & FRANCIS LTD

Other

OtherInternational Symposium on Computational Modelling of Objects Represented in Images (CompIMAGE 2006)
Country/TerritoryPortugal
Period20/10/200621/10/2006

Keywords

  • EDGE-DETECTION
  • SEMEN
  • CLASSIFICATION

Cite this