bibtype M - Monography Chapter
ARLID 0410420
utime 20240103182212.9
mtime 20060210235959.9
ISBN 981-02-4278-6
title (primary) (eng) Invariants to convolution and rotation
publisher
place Singapore
name World Scientific
pub_time 2000
specification
page_count 24 s.
edition
name Series in Machine Perception and Artificial Intelligence.
volume_id 42
serial
title Invariants for Pattern Recognition and Classification
page_num 23-46
editor
name1 Rodrigues
name2 M. A .
author (primary)
ARLID cav_un_auth*0101238
name1 Zitová
name2 Barbara
institution UTIA-B
full_dept Department of Image Processing
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101087
name1 Flusser
name2 Jan
institution UTIA-B
full_dept Department of Image Processing
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
COSATI 09K
cas_special
project
project_id GA106/97/0827
agency GA ČR
ARLID cav_un_auth*0005588
project
project_id IZ4178
agency MZ
country CZ
ARLID cav_un_auth*0026944
research AV0Z1075907
abstract (eng) We introduce a new class of moment-based features invariant to image rotation, translation, scaling, contrast changes and also to convolution with an unknown point-spread function. These features can be used for the recognition of objects captured by anonideal imaging system of unknown position and blurring parameters as well as in many other tasks when dealing with non-ideal, blurred and geometrically distorted images. Practical application to satellite image registration is presented.
RIV JD
department ZOI
permalink http://hdl.handle.net/11104/0130509
ID_orig UTIA-B 20000136
arlyear 2000
mrcbU10 2000
mrcbU10 Singapore World Scientific
mrcbU12 981-02-4278-6
mrcbU63 Invariants for Pattern Recognition and Classification 23 46
mrcbU67 Rodrigues M. A . 340