INSTITUTE OF PHYSICS PUBLISHING PHYSIOLOGICAL MEASUREMENT
Physiol. Meas. 26 (2005) 639–651 doi:10.1088/0967-3334/26/5/006
A template matching algorithm for sperm tracking
and classification
Vahid Reza Nafisi
1
, Mohammad Hasan Moradi
1
and
Mohammad Hosain Nasr-Esfahani
2
1
Bioelectric Department, Faculty of Biomedical Engineering, Amirkabir University of
Technology, Tehran, Iran
2
Medical Embryology Group, Royan Institute, Tehran, Iran
E-mail: vrnafisi@cic.aut.ac.ir
Received 17 October 2004, accepted for publication 6 May 2005
Published 13 June 2005
Online at stacks.iop.org/PM/26/639
Abstract
The conventional assessment of human semen, especially sperm movement
characteristics, is a highly subjective assessment, with considerable intra- and
inter-technician variability. Computer-assisted sperm analysis (CASA) systems
provide a rapid and automated assessment of the parameters of sperm motion,
together with improved standardization and quality control. However, it should
be noted that the measurement of the sperm head motion by CASA is sensitive
to the technique of experimentation. While conventional CASA systems use
digital microscopes with phase-contrast accessories that make the sperm’s head
appear brighter and sharper than the other parts, in this research, a regular light
microscope was used with a digital camera directly attached to its eyepiece.
One of the drawbacks of this method is that the images lack proper contrast
and sharpness. To remedy this, we have proposed an algorithm for sperm
tracking that is insensitive to image acquisition conditions. This tracking
algorithm was used after the background and extra particles were successfully
removed through a two-step enhancement algorithm. Additionally, in this
research, a template matching method was used for finding the sperm’s path.
Upon examination, it was proven that our tracking algorithm worked well
with different image acquisition conditions. This paper explains how this
method reduces error probability in finding and tracking sperm in various
frames.
Keywords: computer-assisted sperm analysis (CASA), tracking,
enhancement, wavelet transform
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