bibtype	C - Conference Paper (international conference)
ARLID	0508017
utime	20241106135744.6
mtime	20190904235959.9
SCOPUS	85072850585
DOI	10.1007/978-3-030-29888-3_32
title (primary) (eng)	On the Null-Space of the Shape-Color Moment Invariants
specification	page_count 7 s. media_type P
serial	ARLID cav_un_epca*0508720 ISBN 978-3-030-29929-3 title Computer Analysis of Images and Patterns : CAIP 2019 International Workshops, ViMaBi and DL-UAV, Salerno, Italy, September 6, 2019, Proceedings page_num 402-408 publisher place Cham name Springer year 2019 editor name1 Vento name2 M. editor name1 Percannella name2 G. editor name1 Colantonio name2 S. editor name1 Giorgi name2 D. editor name1 Matuszewski name2 B. J. editor name1 Kerdegari name2 H. editor name1 Razaak name2 M.
keyword	Color image recognition
keyword	Affine transformation
keyword	Channel mixing
keyword	Moment invariants
keyword	Null-space
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 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.
source	url http://library.utia.cas.cz/separaty/2019/ZOI/kostkova-0508017.pdf
cas_special	project ARLID cav_un_auth*0360229 project_id GA18-07247S agency GA ČR abstract (eng) In this paper, we extend the theory of the combined Shape-Color Affine Moment Invariants (SCAMIs) for recognition of color images, proposed originally by Gong et al. in [3]. Since in the real pictures the shape deformation is always accompanied by the color deformation, it is not sufficient to use the shape invariant or color invariant descriptors only and the use of combined invariants is needed. However, the SCAMIs are not able to recognize images, the color channels of which are linearly dependent or highly correlated. This situation is not rare in practice and is of particular importance in hyper-spectral image analysis, where the spectral bands are highly correlated. We analyze why the SCAMIs fail in such situations, correct the theory and propose a solution to overcome such drawback. Unlike the SCAMIs, the new invariants have in the null-space the constant-zero images only, which leads to a better discrimination power, as demonstrated also on various pictures. action ARLID cav_un_auth*0380252 name International Conference on Computer Analysis of Images and Patterns, CAIP 2019 /18./ dates 20190902 mrcbC20-s 20190906 place Salerno country IT RIV JD FORD0 20000 FORD1 20200 FORD2 20206 reportyear 2020 num_of_auth 2 mrcbC52 4 A sml 4as 20241106135744.6 presentation_type PR inst_support RVO:67985556 permalink http://hdl.handle.net/11104/0299554 confidential S contract name Consent to publish date 20190528 note Copyright arlyear 2019 mrcbTft \nSoubory v repozitáři: kostkova-0508017-Consent to publish.pdf mrcbU14 85072850585 SCOPUS mrcbU24 PUBMED mrcbU34 WOS mrcbU63 cav_un_epca*0508720 Computer Analysis of Images and Patterns : CAIP 2019 International Workshops, ViMaBi and DL-UAV, Salerno, Italy, September 6, 2019, Proceedings Springer 2019 Cham 402 408 978-3-030-29929-3 Communications in Computer and Information Science 1089 mrcbU67 340 Vento M. mrcbU67 340 Percannella G. mrcbU67 340 Colantonio S. mrcbU67 340 Giorgi D. mrcbU67 340 Matuszewski B. J. mrcbU67 340 Kerdegari H. mrcbU67 340 Razaak M.