Matches in SemOpenAlex for { <https://semopenalex.org/work/W1939969845> ?p ?o ?g. }
Showing items 1 to 94 of
94
with 100 items per page.
- W1939969845 abstract "A multiresolution Markov random field (MMRF) approach to texture segmentation which makes use of both regional and boundary information is proposed in this work. The algorithm is designed to improve the efficiency and solve two problems: over-segmentation and under-segmentation. At each resolution level, regional information and boundary information between textured regions is extracted to describe each block using the multiresolution Fourier transform (MFT). The image is then modelled as a sequence of Markov random fields (MRFs) of varying resolution and a Gibbs sampling scheme is applied to label the constituent sites at each scale by seeking the configuration with minimal interaction energy. The interaction energy is defined as a function of the regional and boundary information. The constraints of region context, and boundary smoothness and connectivity are also encoded in the interaction energy. Once the algorithm converges at a given scale, the segmentation result is propagated down to the next resolution for further refinement." @default.
- W1939969845 created "2016-06-24" @default.
- W1939969845 creator A5013390528 @default.
- W1939969845 creator A5075200053 @default.
- W1939969845 date "2002-11-27" @default.
- W1939969845 modified "2023-09-22" @default.
- W1939969845 title "Image segmentation based on a multiresolution Bayesian framework" @default.
- W1939969845 cites W2020999234 @default.
- W1939969845 cites W2098152234 @default.
- W1939969845 cites W2118613493 @default.
- W1939969845 cites W2135023005 @default.
- W1939969845 cites W2141995254 @default.
- W1939969845 cites W2157231504 @default.
- W1939969845 doi "https://doi.org/10.1109/icip.1998.999060" @default.
- W1939969845 hasPublicationYear "2002" @default.
- W1939969845 type Work @default.
- W1939969845 sameAs 1939969845 @default.
- W1939969845 citedByCount "3" @default.
- W1939969845 crossrefType "proceedings-article" @default.
- W1939969845 hasAuthorship W1939969845A5013390528 @default.
- W1939969845 hasAuthorship W1939969845A5075200053 @default.
- W1939969845 hasConcept C105795698 @default.
- W1939969845 hasConcept C11413529 @default.
- W1939969845 hasConcept C119857082 @default.
- W1939969845 hasConcept C121927907 @default.
- W1939969845 hasConcept C124504099 @default.
- W1939969845 hasConcept C130402806 @default.
- W1939969845 hasConcept C134306372 @default.
- W1939969845 hasConcept C153180895 @default.
- W1939969845 hasConcept C154945302 @default.
- W1939969845 hasConcept C159886148 @default.
- W1939969845 hasConcept C196216189 @default.
- W1939969845 hasConcept C25694479 @default.
- W1939969845 hasConcept C2778045648 @default.
- W1939969845 hasConcept C31972630 @default.
- W1939969845 hasConcept C33923547 @default.
- W1939969845 hasConcept C41008148 @default.
- W1939969845 hasConcept C46286280 @default.
- W1939969845 hasConcept C47432892 @default.
- W1939969845 hasConcept C62354387 @default.
- W1939969845 hasConcept C63099799 @default.
- W1939969845 hasConcept C65885262 @default.
- W1939969845 hasConcept C89600930 @default.
- W1939969845 hasConcept C98763669 @default.
- W1939969845 hasConceptScore W1939969845C105795698 @default.
- W1939969845 hasConceptScore W1939969845C11413529 @default.
- W1939969845 hasConceptScore W1939969845C119857082 @default.
- W1939969845 hasConceptScore W1939969845C121927907 @default.
- W1939969845 hasConceptScore W1939969845C124504099 @default.
- W1939969845 hasConceptScore W1939969845C130402806 @default.
- W1939969845 hasConceptScore W1939969845C134306372 @default.
- W1939969845 hasConceptScore W1939969845C153180895 @default.
- W1939969845 hasConceptScore W1939969845C154945302 @default.
- W1939969845 hasConceptScore W1939969845C159886148 @default.
- W1939969845 hasConceptScore W1939969845C196216189 @default.
- W1939969845 hasConceptScore W1939969845C25694479 @default.
- W1939969845 hasConceptScore W1939969845C2778045648 @default.
- W1939969845 hasConceptScore W1939969845C31972630 @default.
- W1939969845 hasConceptScore W1939969845C33923547 @default.
- W1939969845 hasConceptScore W1939969845C41008148 @default.
- W1939969845 hasConceptScore W1939969845C46286280 @default.
- W1939969845 hasConceptScore W1939969845C47432892 @default.
- W1939969845 hasConceptScore W1939969845C62354387 @default.
- W1939969845 hasConceptScore W1939969845C63099799 @default.
- W1939969845 hasConceptScore W1939969845C65885262 @default.
- W1939969845 hasConceptScore W1939969845C89600930 @default.
- W1939969845 hasConceptScore W1939969845C98763669 @default.
- W1939969845 hasLocation W19399698451 @default.
- W1939969845 hasOpenAccess W1939969845 @default.
- W1939969845 hasPrimaryLocation W19399698451 @default.
- W1939969845 hasRelatedWork W1523554224 @default.
- W1939969845 hasRelatedWork W1538635438 @default.
- W1939969845 hasRelatedWork W1820405287 @default.
- W1939969845 hasRelatedWork W1965874419 @default.
- W1939969845 hasRelatedWork W1995390556 @default.
- W1939969845 hasRelatedWork W2016482013 @default.
- W1939969845 hasRelatedWork W2022545622 @default.
- W1939969845 hasRelatedWork W2055327932 @default.
- W1939969845 hasRelatedWork W2064148651 @default.
- W1939969845 hasRelatedWork W2073939378 @default.
- W1939969845 hasRelatedWork W2112929599 @default.
- W1939969845 hasRelatedWork W2123974688 @default.
- W1939969845 hasRelatedWork W2130260536 @default.
- W1939969845 hasRelatedWork W2139786691 @default.
- W1939969845 hasRelatedWork W2153319319 @default.
- W1939969845 hasRelatedWork W2158139302 @default.
- W1939969845 hasRelatedWork W2159274664 @default.
- W1939969845 hasRelatedWork W2165949074 @default.
- W1939969845 hasRelatedWork W2171432593 @default.
- W1939969845 hasRelatedWork W2605316913 @default.
- W1939969845 isParatext "false" @default.
- W1939969845 isRetracted "false" @default.
- W1939969845 magId "1939969845" @default.
- W1939969845 workType "article" @default.