Počet záznamů: 1
Image Segmentation
- 1.
SYSNO ASEP 0359021 Druh ASEP D - Dizertace Zařazení RIV Záznam nebyl označen do RIV Název Image Segmentation Tvůrce(i) Mikeš, Stanislav (UTIA-B) RID Vyd. údaje Praha: MFF UK, 2010 Poč.str. 196 s. Jazyk dok. eng - angličtina Země vyd. CZ - Česká republika Klíč. slova iamge segmentation ; 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 Image segmentation is a fundamental part in low level computer vision processing. It has an essential in uence on the subsequent higher level visual scene interpretation for a wide range of applications. Unsupervised image segmentation is an ill-dened problem and thus cannot be optimally solved in general. Several novel unsupervised multispectral image segmentation methods based on the underlaying random eld texture models (GMRF, 2D/3D CAR) were developed. These segmenters use e cient data representations that allow an analytical solutions and thus the segmentation algorithm is much faster in comparison to methods based on MCMC. All segmenters were extensively compared with the alternative stateof- the-art segmenters with very good results. The MW3AR segmenter scored as one of the best available. The cluster validation problem was solved by a modied EM algorithm. Two multiple resolution segmenters were designed as a combination of a set of single segmenters. Pracoviště Ústav teorie informace a automatizace Kontakt Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Rok sběru 2012
Počet záznamů: 1