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State Space Realization of a Three-dimensional Image Set with Application to Noise Reduction of Fluorescent Microscopy Images of Cells

  • Raimund J. Ober
  • Xuming Lai
  • Zhiping Lin
  • E. Sally Ward
Open Access
Article

Abstract

A method is presented to calculate state space realizations of a three-dimensional image set. It is based on interpreting the image set as the impulse response of a 3D separable system. As an application it is shown how this method, combined with approximation steps, including balanced model reduction, can be used to suppress noise in three-dimensional image sets. The approach was motivated by a practical problem in the analysis of three-dimensional fluorescent microscopy image data of fluorescently labelled cells. The method is illustrated by an analysis of simulated data and experimental data. The proposed approach can also be applied to a two-dimensional image in a straightforward way.

Keywords

multi-dimensional state space realization separable n-D system image processing noise suppression balanced realization fluorescent microscopy 

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Copyright information

© Springer Science+Business Media, Inc. 2005

Authors and Affiliations

  • Raimund J. Ober
    • 1
    • 2
  • Xuming Lai
    • 1
    • 2
  • Zhiping Lin
    • 3
  • E. Sally Ward
    • 1
    • 2
  1. 1.Department of Electrical EngineeringUniversity of Texas at DallasRichardsonUSA
  2. 2.Center for ImmunologyUniversity of Texas Southwestern Medical CenterDallasUSA
  3. 3.School of Electrical and Electronic EngineeringNanyang Technological UniversitySingaporeRepublic of Singapore

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