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VRSTA GRADIVAanalitična raven (sestavni del), tekstovno gradivo, tiskano, 1.01 - izvirni znanstveni članek
DRŽAVA IZIDASlovenija
LETO IZIDA2001
JEZIK BESEDILA/IZVIRNIKAangleški
PISAVAlatinica
DELO IMAilustracije
AVTORKervrann, Charles - avtor
NASLOVBayesian image segmentation through level lines selection
V PUBLIKACIJIImage analysis & stereology. - ISSN 1580-3139. - ǂVol. ǂ20, ǂno. ǂ3 (nov. 2001), str. 163-168.
KRATKA VSEBINABayesian statistical theory is a convenient way of taking a priori informationinto consideration when inference is madefrom images. In Bayesian image segmentation, the a priori distribution should capture the knowledge about objects. Taking inspiration from (Alvarez et ad., 1999), we design a prior density that penalizes the area of homogeneous parts in images. The segmentation problem is further formulated as the estimation of the set of curves that maximizes the posterior distribution. In this paper, we explore a posterior distribution model for which its maximal mode is given by a subset of level curves, thatis the boundaries of image level sets. For the completeness of the paper, we present a stepwise greedy algorithm for computing partitions with connected components.
OPOMBEBibliografija: str. 168 // Abstract
PREDMETNE OZNAKEBayes Theorem // Image Processing, Computer-Assisted // Bayesov teorem // Slika, obdelava z računalnikom
PREDMETNE OZNAKE// Bayesov teorem // analiza slik // porazdelitev // stereologija
UDK004.932:51:611
COBISSSI-ID1

izvedba, lastnina in pravice: NUK 2010