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  • Research Article
  • Open Access

Photorealistic Modeling of the Growth of Filamentous Specimens

EURASIP Journal on Advances in Signal Processing20072008:520972

  • Received: 27 April 2007
  • Accepted: 14 October 2007
  • Published:


We present a new method for modeling the development of settled specimens with filamentous growth patterns, such as fungi and oomycetes. In phytopathology, the growth parameters of such microorganisms are frequently examined. Their development is documented repeatedly, in a defined time sequence, leaving the growth pattern incomplete. This restriction can be overcome by reconstructing the missing images from the images acquired at consecutive observation sessions. Image warping is a convenient tool for such purposes. In the proposed method, the parameters of the geometric transformation are estimated by means of the growth tracking based on the morphological skeleton. The result is a sequence of photorealistic artificial images that show the development of the specimen within the interval between observations.


  • Information Technology
  • Artificial Image
  • Growth Pattern
  • Quantum Information
  • Growth Parameter

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Authors’ Affiliations

Department of Image Processing, Institute of Information Theory and Automation, Academy of Sciences of the Czech Republic, Pod Vodárenskou věží 4, Prague 8, 182 08, Czech Republic
Faculty of Mathematics and Physics, Charles University, Malostranské náměstí 25, Prague 1, 118 00, Czech Republic
Department of Botany, Faculty of Science, Palacký University, Šlechtitelů 11, Olomouc – Holice, 783 71, Czech Republic


© Jiří Sedlář et al. 2008

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.