Open Access

Photorealistic Modeling of the Growth of Filamentous Specimens

EURASIP Journal on Advances in Signal Processing20072008:520972

https://doi.org/10.1155/2008/520972

Received: 27 April 2007

Accepted: 14 October 2007

Published: 15 November 2007

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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Authors’ Affiliations

(1)
Department of Image Processing, Institute of Information Theory and Automation, Academy of Sciences of the Czech Republic
(2)
Faculty of Mathematics and Physics, Charles University
(3)
Department of Botany, Faculty of Science, Palacký University

Copyright

© 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.