Abstract
Video microscopy offers researchers a method to observe small-scale dynamic processes. It is often useful to remove unchanging portions of image sequences to improve the perception and analysis of moving features. We propose two processing methods (a local method and a global method) for detecting and removing partial stationary occlusions from video microscopy data using the bright-field microscope image model. In both techniques, we compute the relative light transmission across the image plane due to fixed, partially-transparent objects. The resulting transmission map enables reconstruction of a video in which the occlusions have been removed. We present experimental results that compare the effectiveness and applicability of our two approaches.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Tsin, Y., Ramesh, V., Kanade, T.: Statistical calibration of CCD imaging process. IEEE ICCV 01, 480 (2001)
Inoué, S., Spring, K.R.: Video Microscopy: The Fundamentals, 2nd edn. Springer, Heidelberg (1997)
Hill, D.B., Plaza, M.J., Bonin, K., Holzwarth, G.: Fast vesicle transport in pc12 neurites: velocities and forces. European Biophysics Journal 33(7), 623–632 (2004)
Schechner, Y.Y., Nayar, S.K.: Generalized mosaicing: High dynamic range in a wide field of view. IJCV 53(3), 245–267 (2003)
Shizawa, M., Mase, K.: Simultaneous multiple optical flow estimation. ICPR 1, 274–278 (1990)
Sun, J., Li, Y., Kang, S.B., Shum, H.Y.: Symmetric stereo matching for occlusion handling. IEEE CVPR 2, 399–406 (2005)
Jia, J., Wu, T.P., Tai, Y.W., Tang, C.K.: Video repairing: Inference of foreground and background under severe occlusion. IEEE CVPR 01, 364–371 (2004)
Press, W.H., Teukolsky, S.A., Vetterling, W.T., Flannery, B.P.: Numerical Recipes in C: The Art of Scientific Computing, 2nd edn. Cambridge University Press, Cambridge (1992)
Ibanez, L., Schroeder, W., Ng, L., Cates, J.: The ITK Software Guide. Kitware, Inc., 2nd edn. (2005), ISBN 1-930934-15-7 http://www.itk.org/ItkSoftwareGuide.pdf
Frankot, R.T., Chellappa, R.: A method for enforcing integrability in shape from shading algorithms. IEEE PAMI 10(4), 439–451 (1988)
Harris, F.J.: On the use of windows for harmonic analysis with the discrete fourier transform. Proceedings of the IEEE 66(1), 51–83 (1978)
Bovik, A.: Handbook of image and video processing, 2nd edn. Academic Press, San Diego (2005)
Antonini, M., Barlaud, M., Mathieu, P., Daubechies, I.: Image coding using wavelet transform. IEEE TIP 1, 205–220 (1992)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Eastwood, B., Taylor, R.M. (2007). Occlusion Removal in Video Microscopy. In: Kropatsch, W.G., Kampel, M., Hanbury, A. (eds) Computer Analysis of Images and Patterns. CAIP 2007. Lecture Notes in Computer Science, vol 4673. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74272-2_16
Download citation
DOI: https://doi.org/10.1007/978-3-540-74272-2_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74271-5
Online ISBN: 978-3-540-74272-2
eBook Packages: Computer ScienceComputer Science (R0)