Photorealistic Modeling of the Growth of Filamentous Specimens

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, le...

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Bibliographic Details
Published inEURASIP journal on advances in signal processing Vol. 2008; no. 4
Main Authors SEDLAR, Jirri, FLUSSER, Jan, SEDLAROVA, Michaela
Format Journal Article
LanguageEnglish
Published Cairo Hindawi Publishing Corporation 01.01.2008
Springer Nature B.V
SpringerOpen
Subjects
Applied sciences
Computer graphics
Exact sciences and technology
Image processing
Information theory
Information, signal and communications theory
Monitoring systems
Signal processing
Studies
Telecommunications and information theory
Geometric transformation
Target tracking
Image processing
Warping
Skeleton
Modeling
Image reconstruction
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Summary: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.
ISSN:1687-6172
1687-6180
1687-6180
DOI:10.1155/2008/520972