bibtype J - Journal Article
ARLID 0434521
utime 20240103204954.9
mtime 20141124235959.9
SCOPUS 84924690353
WOS 000351213400007
DOI 10.1109/TPAMI.2014.2353644
title (primary) (eng) Projection Operators and Moment Invariants to Image Blurring
specification
page_count 17 s.
media_type P
serial
ARLID cav_un_epca*0256725
ISSN 0162-8828
title IEEE Transactions on Pattern Analysis and Machine Intelligence
volume_id 37
volume 4 (2015)
page_num 786-802
publisher
name IEEE Computer Society
keyword Blurred image
keyword N-fold rotation symmetry
keyword projection operators
keyword image moments
keyword moment invariants
keyword blur invariants
keyword object recognition
author (primary)
ARLID cav_un_auth*0101087
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
name1 Flusser
name2 Jan
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101203
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
full_dept Department of Image Processing
name1 Suk
name2 Tomáš
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101071
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
full_dept Department of Image Processing
name1 Boldyš
name2 Jiří
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101238
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
full_dept Department of Image Processing
name1 Zitová
name2 Barbara
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2014/ZOI/flusser-0434521.pdf
cas_special
project
ARLID cav_un_auth*0292734
project_id GA13-29225S
agency GA ČR
project
ARLID cav_un_auth*0273618
project_id GAP103/11/1552
agency GA ČR
abstract (eng) In this paper we introduce a new theory of blur invariants. Blur invariants are image features which preserve their values if the image is convolved by a point-spread function (PSF) of a certain class. We present the invariants to convolution with an arbitrary N-fold symmetric PSF, both in Fourier and image domain. We introduce a notion of a primordial image as a canonical form of all blur-equivalent images. It is defined in spectral domain by means of projection operators. We prove that the moments of the primordial image are invariant to blur and we derive recursive formulae for their direct computation without actually constructing the primordial image. We further prove they form a complete set of invariants and show how to extent their invariance also to translation, rotation and scaling. We illustrate by simulated and real-data experiments their invariance and recognition power. Potential applications of this method are wherever one wants to recognize objects on blurred images.
RIV JD
reportyear 2017
num_of_auth 4
mrcbC52 4 A hod 4ah 20231122140557.6
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0239389
mrcbC64 1 Department of Image Processing UTIA-B 10200 COMPUTER SCIENCE, THEORY & METHODS
confidential S
mrcbT16-e COMPUTERSCIENCEARTIFICIALINTELLIGENCE|ENGINEERINGELECTRICALELECTRONIC
mrcbT16-j 4.15
mrcbT16-s 6.202
mrcbT16-4 Q1
mrcbT16-B 99.622
mrcbT16-C 98.163
mrcbT16-D Q1*
mrcbT16-E Q1*
arlyear 2015
mrcbTft \nSoubory v repozitáři: flusser-0434521.pdf
mrcbU14 84924690353 SCOPUS
mrcbU34 000351213400007 WOS
mrcbU63 cav_un_epca*0256725 IEEE Transactions on Pattern Analysis and Machine Intelligence 0162-8828 1939-3539 Roč. 37 č. 4 2015 786 802 IEEE Computer Society