Počet záznamů: 1
Pattern Recognition, Recent Advances
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SYSNO ASEP 0343263 Druh ASEP M - Kapitola v monografii Zařazení RIV C - Kapitola v knize Název Illumination Invariants Based on Markov Random Fields Tvůrce(i) Vácha, Pavel (UTIA-B) RID
Haindl, Michal (UTIA-B) RID, ORCIDZdroj.dok. Pattern Recognition, Recent Advances. - Vukovar, Croatia : In-Teh, 2010 / Herout A. - ISBN 978-953-7619-90-9 Rozsah stran s. 253-272 Poč.str. 20 s. Poč.výt. 5000 Poč.str.knihy 524 Forma vydání www - www Jazyk dok. eng - angličtina Země vyd. HR - Chorvatsko Klíč. slova illumination invariants ; textural features ; Markov random fields Vědní obor RIV BD - Teorie informace CEP 1M0572 GA MŠMT - Ministerstvo školství, mládeže a tělovýchovy GA102/08/0593 GA ČR - Grantová agentura ČR CEZ AV0Z10750506 - UTIA-B (2005-2011) Anotace Content-based image retrieval systems (CBIR) typically query large image databases based on some automatically generated colour and textural features. Optimal robust features should be geometry and illumination invariant. Although image retrieval has been an active research area for many years this difficult problem is still far from being solved. We introduce fast and robust textural features that allow retrieving images with similar scenes comprising colour textured objects viewed with different illumination. The proposed textural features that are invariant to illumination spectrum and extremely robust to illumination direction. They require only a single training image per texture and no knowledge of illumination direction, brightness or spectrum. These feature utilises utilise illumination invariant features extracted from three different Markov random field (MRF) based texture representations. Pracoviště Ústav teorie informace a automatizace Kontakt Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Rok sběru 2011
Počet záznamů: 1