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Determination of volume characteristics of cells from dynamical microscopic image

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The algorithm for the determination of 3D-characteristics of a dynamic biological object based on the recovery of a stereo pair was proposed. Images for stereo pair construction were obtained via a single camera before and after the displacement of the object. The algorithm is based on the example of living one-celled organisms.
Rocznik
Strony
63--76
Opis fizyczny
Bibliogr. 10 poz.
Twórcy
autor
  • Belarusian State Medical University (BSMU), Department of Medical Physics, Dzerzhinski Ave. 83, Minsk, Belarus, 220116
  • United Institute of Informatics Problems of the National Academy, of Sciences of Belarus (UIIP), 6 Surganova str., Minsk, Belarus, 220012
autor
  • United Institute of Informatics Problems of the National Academy, of Sciences of Belarus (UIIP), 6 Surganova str., Minsk, Belarus, 220012
  • Belarusian State University (BSU), Bobruiskaya Str. 5a, Minsk, Belarus, 220006
Bibliografia
  • [1] Aggarwal, J. and Ryoo, M., Human Activity Analysis: A Review, ACM Comput. Surv., Vol. 43, No. 3, April 2011, pp. 16:1–16:43.
  • [2] Liao, W., Aggarwal, S., and Aggarwal, J., The Reconstruction of Dynamic 3D Structure of Biological Objects Using Stereo Microscope Images, Vol. 9, No. 4, 1997, pp. 166–178.
  • [3] Stockman, G. and Shapiro, L. G., Computer Vision, Prentice Hall PTR, Upper Saddle River, NJ, USA, 1st ed., 2001.
  • [4] Yu, C., Dian-ren, C., Yang, L., and Lei, C., Otsu’s Thresholding Method Based on Gray Level-gradient Two-dimensional Histogram, In: Proceedings of the 2Nd International Asia Conference on Informatics in Control, Automation and Robotics - Volume 3, CAR’10, IEEE Press, Piscataway, NJ, USA.
  • [5] Sabater, N., Blanchet, G., Moisan, L., Almansa, A., and Morel, J.-M., Review of low-baseline stereo algorithms and benchmarks, In: Image Signal Process. Remote Sens. XVI, edited by L. Bruzzone, Vol. 7830, Oct. 2010, pp. 783005–783005–12.
  • [6] Sabater, N., Almansa, A., and Morel, J.-M., Meaningful matches in stereovision. IEEE Trans. Pattern Anal. Mach. Intell., Vol. 34, No. 5, May 2012, pp. 930–42.
  • [7] Bhalerao, R. H., Gedam, S. S., and Almansa, A. A., Fast epipolar resampling of trinocular linear scanners images using Chandrayaan-1 TMC dataset, In: 2013 IEEE Second Int. Conf. Image Inf. Process., IEEE, Dec. 2013, pp. 12–16.
  • [8] Slabaugh, G. G., Culbertson, W. B., Malzbender, T., Stevens, M. R., and Schafer, R. W., Methods for Volumetric Reconstruction of Visual Scenes. International Journal of Computer Vision, Vol. 57, No. 3, 2004, pp. 179–199.
  • [9] Furukawa, Y. and Ponce, J., Accurate, dense, and robust multiview stereopsis, Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 32, No. 8, 2010, pp. 1362–1376.
  • [10] Hartley, R. I. and Zisserman, A., Multiple View Geometry in Computer Vision, Cambridge University Press, ISBN: 0521540518, 2nd ed., 2004.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-d0fbbef2-9d4f-40b6-8066-53524ad613f3
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