bibtype J - Journal Article
ARLID 0359752
utime 20240103195212.2
mtime 20110601235959.9
WOS 000291834800020
SCOPUS 79957463232
DOI 10.1016/j.patcog.2010.05.015
title (primary) (eng) Affine Moment Invariants Generated by Graph Method
specification
page_count 10 s.
serial
ARLID cav_un_epca*0257388
ISSN 0031-3203
title Pattern Recognition
volume_id 44
volume 9 (2011)
publisher
name Elsevier
keyword Image moments
keyword Object recognition
keyword Affine transformation
keyword Affine moment invariants
keyword Pseudoinvariants
keyword Graph representation
keyword Irreducibility
keyword Independence
author (primary)
ARLID cav_un_auth*0101203
name1 Suk
name2 Tomáš
full_dept (cz) Zpracování obrazové informace
full_dept (eng) Department of Image Processing
department (cz) ZOI
department (eng) ZOI
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
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
institution UTIA-B
full_dept Department of Image Processing
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2011/ZOI/suk-0359752.pdf
cas_special
project
project_id GA102/08/1593
agency GA ČR
country CZ
ARLID cav_un_auth*0239572
research CEZ:AV0Z10750506
abstract (eng) The paper presents a general method of an automatic deriving affine moment invariants of any weights and orders. The method is based on representation of the invariants by graphs. We propose an algorithm for eliminating reducible and dependent invariants. This method represents a systematic approach to the generation of all relevant moment features for recognition of affinely distorted objects. We also show the difference between pseudoinvariants and true invariants.
reportyear 2012
RIV IN
mrcbC52 4 A 4a 20231122134545.5
permalink http://hdl.handle.net/11104/0197473
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mrcbTft \nSoubory v repozitáři: suk-0359752.pdf
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mrcbU63 cav_un_epca*0257388 Pattern Recognition 0031-3203 1873-5142 Roč. 44 č. 9 2011 2047 – 2056 Elsevier