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recognition purposes in cases when there is a limited
amount of image data and for biological linear
objects where geometrical configurations are
difficult to model analytically.
Structural noise remains a problem in high
contrast images. Since they can be associated with
the transition between specific parts of the nematode
we are considering extending our methodology to
part detection schemes. The influence of these
features on other types of biological linear structures
such as plant pathogen or cell micro tubular
structures remains as an interesting field for future
work.
ACKNOWLEDGEMENTS
This work was supported by the VLIR-ESPOL
program. Daniel Ochoa is PhD student from VLIR-
ESPOL program. Images were kindly provided by
DevGen corporation, and the Marine Biology
Department of Ghent University.
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DETECTION OF ISOLATED NEMATODES IN CLUTTER ENVIRONMENTS USING SHAPE FEATURE
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