Open Access Research Article

Photorealistic Modeling of the Growth of Filamentous Specimens

Jiří Sedlář12*, Jan Flusser1 and Michaela Sedlářová3

Author Affiliations

1 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

2 Faculty of Mathematics and Physics, Charles University, Malostranské náměstí 25, Prague 1 118 00, Czech Republic

3 Department of Botany, Faculty of Science, Palacký University, Šlechtitelů 11, Olomouc – Holice 783 71, Czech Republic

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EURASIP Journal on Advances in Signal Processing 2008, 2008:520972  doi:10.1155/2008/520972


The electronic version of this article is the complete one and can be found online at: http://asp.eurasipjournals.com/content/2008/1/520972


Received: 27 April 2007
Revisions received: 8 October 2007
Accepted: 14 October 2007
Published: 15 November 2007

© 2008 The Author(s).

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.

Abstract

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.

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