ImageJ plugin for the Snell segmentation method
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F14%3A00438902" target="_blank" >RIV/67985556:_____/14:00438902 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
ImageJ plugin for the Snell segmentation method
Original language description
For image segmentation in the bioimaging field, the Otsu thresholding algorithm is very often the algorithm of choice. It's simple and fast algorithm. The drwaback of this algorithm is that it does not account for the image contents, and, in the bioimaging context, it often sets the threshold too high. In result, the contours of the resulting binary objects do not fully cover the original objects. An alternative option is represented by algorithms based on iterative optimization, such as the active contours, deformable models, etc. These algorithms are iterative and possibly rather computationally expensive. An interesting trade-off between the two approaches has been described in Snell et al: Segmentation and shape classification of nuclei in DAPI images. This method uses cost function that relates to the quality of resulting boundary. In the poster, an implementation of the Snell algorithm in the form of an ImageJ plugin was presented.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
<a href="/en/project/TA01010931" target="_blank" >TA01010931: System for FISH analysis evaluation support</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů