Colour Image Segmentation by Region Growing Based on Conformal Geometric Algebra

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F19%3APU132414" target="_blank" >RIV/00216305:26210/19:PU132414 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/978-3-030-22514-8" target="_blank" >https://doi.org/10.1007/978-3-030-22514-8</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-22514-8_56" target="_blank" >10.1007/978-3-030-22514-8_56</a>

Result language
angličtina
Original language name
Colour Image Segmentation by Region Growing Based on Conformal Geometric Algebra
Original language description
We apply conformal geometric algebra (CGA) to classical algorithms for colour image segmentation. Particularly, we modify stan dard Prewitt quaternionic filter for edge detection and region growing segmentation procedure and use them simultaneously, which is only allowed by common CGA language, more precisely by the notion of flat point in normalised and unnormalised form
Czech name
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Czech description
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Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project
<a href="/en/project/GA17-21360S" target="_blank" >GA17-21360S: Advances in Snake-like Robot Control</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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