bibtype C - Conference Paper (international conference)
ARLID 0506779
utime 20241106135738.7
mtime 20190724235959.9
SCOPUS 85066914571
DOI 10.1007/978-3-030-20205-7_12
title (primary) (eng) Image Invariants to Anisotropic Gaussian Blur
specification
page_count 12 s.
media_type P
serial
ARLID cav_un_epca*0506785
ISBN 978-3-030-20204-0
ISSN 0302-9743
title Image Analysis : 21st Scandinavian Conference, SCIA 2019
page_num 140-151
publisher
place Cham
name Springer
year 2019
keyword Gaussian blur
keyword Semi-group
keyword Projection operator
keyword Image moments
keyword Moment invariants
author (primary)
ARLID cav_un_auth*0336802
name1 Kostková
name2 Jitka
institution UTIA-B
full_dept (cz) Zpracování obrazové informace
full_dept (eng) Department of Image Processing
department (cz) ZOI
department (eng) ZOI
full_dept Department of Image Processing
garant K
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 (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
full_dept Department of Image Processing
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0377447
name1 Lébl
name2 Matěj
institution UTIA-B
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
full_dept Department of Image Processing
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0293889
name1 Pedone
name2 M.
country IT
source
url http://library.utia.cas.cz/separaty/2019/ZOI/kostkova-0506779.pdf
cas_special
project
ARLID cav_un_auth*0360229
project_id GA18-07247S
agency GA ČR
abstract (eng) The paper presents a new theory of invariants to Gaussian blur. Unlike earlier methods, the blur kernel may be arbitrary oriented, scaled and elongated. Such blurring is a semi-group action in the image space, where the orbits are classes of blur-equivalent images. We propose a non-linear projection operator which extracts blur-insensitive component of the image. The invariants are then formally defined as moments of this component but can be computed directly from the blurred image without an explicit construction of the projections. Image description by the new invariants does not require any prior knowledge of the particular blur kernel shape and does not include any deconvolution. Potential applications are in blur-invariant image recognition and in robust template matching.
action
ARLID cav_un_auth*0377448
name Scandinavian Conference on Image Analysis - SCIA'19
dates 20190611
mrcbC20-s 20190614
place Norkoping
country SE
RIV JD
FORD0 10000
FORD1 10200
FORD2 10201
reportyear 2020
num_of_auth 4
mrcbC52 4 A sml 4as 20241106135738.7
presentation_type PR
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0297951
cooperation
ARLID cav_un_auth*0349870
name University of Oulu
country FI
confidential S
contract
name copyright
date 20190325
note Consent to publish
mrcbT16-s 0.295
mrcbT16-E Q2
arlyear 2019
mrcbTft \nSoubory v repozitáři: kostkova-0506779-Copyright.pdf
mrcbU14 85066914571 SCOPUS
mrcbU24 PUBMED
mrcbU34 WOS
mrcbU63 cav_un_epca*0506785 Image Analysis : 21st Scandinavian Conference, SCIA 2019 978-3-030-20204-0 0302-9743 1611-3349 140 151 Cham Springer 2019 Lecture Notes in Computer Science 11482