2D and 3D Image Analysis by Gaussian-Hermite Moments
Result description
This chapter introduces 2D and 3D Gaussian-Hermite moments and rotation invariants constructed from them. Thanks to their numerical stability, Gaussian-Hermite moments provide better reconstruction and recognition power than the geometric and most of other orthogonal moments while keeping the simplicity of design of the invariants. This is illustrated by experiments on real 2D and 3D data.
Keywords
The result's identifiers
Result code in IS VaVaI
Result on the web
DOI - Digital Object Identifier
Alternative languages
Result language
angličtina
Original language name
2D and 3D Image Analysis by Gaussian-Hermite Moments
Original language description
This chapter introduces 2D and 3D Gaussian-Hermite moments and rotation invariants constructed from them. Thanks to their numerical stability, Gaussian-Hermite moments provide better reconstruction and recognition power than the geometric and most of other orthogonal moments while keeping the simplicity of design of the invariants. This is illustrated by experiments on real 2D and 3D data.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
GAP103/11/1552: Moments and Moment Invariants in Image Analysis
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Moments and Moment Invariants: Theory and Applications
ISBN
978-618-81418-1-0
Number of pages of the result
31
Pages from-to
143-173
Number of pages of the book
288
Publisher name
Science Gate Publishing
Place of publication
Xanthi
UT code for WoS chapter
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Result type
C - Chapter in a specialist book
CEP
JD - Use of computers, robotics and its application
Year of implementation
2014