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A computer system for sperm cells motility evaluation

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Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The article describes the first module of a computer system for human sperm assessment. Different image acquisition methods were described and optical microscope with bright optic was selected as the most appropriate one. Image enhancement and processing methods were selected and customized to achieve effective sperm cells recognition and tracking. Trajectories of sperm cells and their movement parameters were found, calculated and classified in compliance with WHO standards.
Rocznik
Strony
167--186
Opis fizyczny
Bibliogr. 17 poz., il., wykr.
Twórcy
  • Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, 4 Ks. Trojdena str., 01-211 Warsaw, Poland
Bibliografia
  • [1] Meyer-Arendt J. R. : Wstęp do optyki, PWN, 1977.
  • [2] Pluta M.: Mikroskopia optyczna, PWN, 1982.
  • [3] Gonzales R. C., Wintz P.: Digital Image Processing, Addison-Wesley, 1987,
  • [4] Randal C. Nelson: Qualitative detection of Motion by a Moving Observer, University of Rochester Department of Computer Science TR 341, April, 1990.
  • [5] Nadler M., Smith E.: Pattern recognition engineering, John Wiley & Sons, 1992.
  • [6] World Health Organization, WHO Laboratory manuał for the Standardized Investigation and Diagnosis of the Infertile Couple, Cambridge University Press, 1993.
  • [7] Mortimer D.: Computer-Aided Sperm Analysis and sperm kinematics. Oxford University Press, 1994.
  • [8] Irvine D. S.: Computer assisted semen analysis systems: sperm motility assessment, Hum. Reprod, 1995.
  • [9] Russ J.: The image processing handbook, CRC Press1995.
  • [10] Tadeusiewicz R., Korohoda P.: Computer Analysis and Image Processing (in Polish), Foundation of Progress in Telecommunication, Cracow, 1997.
  • [11] Semczuk M., Kurpisz M.: Andrologia, PZWL. 2000
  • [12] Technical Guide for IVOX, TOX IVOS, CEROS, Hamilton Thorne Research, 2000.
  • [13] Intel Image Processing Library. reference manuał, Intel Corporation, 2000.
  • [14] Bovik A.: Handbook of image & video processing , Academic Press, 2000.
  • [15] Zivkovic Z.: Motion detection and object tracking in image sequences, Ph. D. thesis, University of Twente, Enschede, 2003.
  • [16] Warchol W., Warchol J. B., Filipiak K., Karaś Z., Jaroszyk F.: Analysis of spermatozoa movement using a video imaging technique, Springer Berlin, Heidelberg, 2004.
  • [17] Berezansky M., Greenspan H., Cohen-Or D.: Segmentation and tracking of human sperm cells using spatio-temporal representation and clustering, Medical Imaging 2007.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWA1-0032-0009
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