Matches in SemOpenAlex for { <https://semopenalex.org/work/W2174383642> ?p ?o ?g. }
Showing items 1 to 99 of
99
with 100 items per page.
- W2174383642 abstract "Image segmentation is a classical problem in computer vision and has been widely used in many fields. Due to the uncertainty in images, it is difficult to obtain a precise segmentation result. To deal with the problem of uncertainty encountered in the image segmentation, an evidential Markov random field (EMRF) model is designed, based on which a novel image segmentation algorithm is proposed in this paper. The credal partition based on the evidence theory is used to define the label field. The iterated conditional modes (ICM) algorithm is used for the optimization in EMRF. Experimental results show that our proposed algorithm can provide a better segmentation result against the traditional MRF, the Fuzzy MRF (FMRF) and the traditonal evidential approaches." @default.
- W2174383642 created "2016-06-24" @default.
- W2174383642 creator A5024649502 @default.
- W2174383642 creator A5062321525 @default.
- W2174383642 creator A5091885695 @default.
- W2174383642 date "2015-10-01" @default.
- W2174383642 modified "2023-09-26" @default.
- W2174383642 title "Image segmentation based on evidential Markov random field model" @default.
- W2174383642 cites W1601780846 @default.
- W2174383642 cites W1769381753 @default.
- W2174383642 cites W1970800786 @default.
- W2174383642 cites W1993853885 @default.
- W2174383642 cites W2018724743 @default.
- W2174383642 cites W2020999234 @default.
- W2174383642 cites W2086360377 @default.
- W2174383642 cites W2088267794 @default.
- W2174383642 cites W2097514097 @default.
- W2174383642 cites W2101231485 @default.
- W2174383642 cites W2114220616 @default.
- W2174383642 cites W2117079761 @default.
- W2174383642 cites W2129872026 @default.
- W2174383642 cites W2132904553 @default.
- W2174383642 cites W2133849819 @default.
- W2174383642 cites W2138705986 @default.
- W2174383642 cites W2139170612 @default.
- W2174383642 cites W2166576599 @default.
- W2174383642 cites W2168990496 @default.
- W2174383642 cites W2169099300 @default.
- W2174383642 cites W2171432593 @default.
- W2174383642 cites W2343434999 @default.
- W2174383642 cites W2797148637 @default.
- W2174383642 doi "https://doi.org/10.1109/iccais.2015.7338669" @default.
- W2174383642 hasPublicationYear "2015" @default.
- W2174383642 type Work @default.
- W2174383642 sameAs 2174383642 @default.
- W2174383642 citedByCount "2" @default.
- W2174383642 countsByYear W21743836422017 @default.
- W2174383642 countsByYear W21743836422020 @default.
- W2174383642 crossrefType "proceedings-article" @default.
- W2174383642 hasAuthorship W2174383642A5024649502 @default.
- W2174383642 hasAuthorship W2174383642A5062321525 @default.
- W2174383642 hasAuthorship W2174383642A5091885695 @default.
- W2174383642 hasConcept C105795698 @default.
- W2174383642 hasConcept C119857082 @default.
- W2174383642 hasConcept C124504099 @default.
- W2174383642 hasConcept C130402806 @default.
- W2174383642 hasConcept C153180895 @default.
- W2174383642 hasConcept C154945302 @default.
- W2174383642 hasConcept C25694479 @default.
- W2174383642 hasConcept C2778045648 @default.
- W2174383642 hasConcept C31972630 @default.
- W2174383642 hasConcept C33923547 @default.
- W2174383642 hasConcept C41008148 @default.
- W2174383642 hasConcept C58166 @default.
- W2174383642 hasConcept C65885262 @default.
- W2174383642 hasConcept C89600930 @default.
- W2174383642 hasConcept C98763669 @default.
- W2174383642 hasConceptScore W2174383642C105795698 @default.
- W2174383642 hasConceptScore W2174383642C119857082 @default.
- W2174383642 hasConceptScore W2174383642C124504099 @default.
- W2174383642 hasConceptScore W2174383642C130402806 @default.
- W2174383642 hasConceptScore W2174383642C153180895 @default.
- W2174383642 hasConceptScore W2174383642C154945302 @default.
- W2174383642 hasConceptScore W2174383642C25694479 @default.
- W2174383642 hasConceptScore W2174383642C2778045648 @default.
- W2174383642 hasConceptScore W2174383642C31972630 @default.
- W2174383642 hasConceptScore W2174383642C33923547 @default.
- W2174383642 hasConceptScore W2174383642C41008148 @default.
- W2174383642 hasConceptScore W2174383642C58166 @default.
- W2174383642 hasConceptScore W2174383642C65885262 @default.
- W2174383642 hasConceptScore W2174383642C89600930 @default.
- W2174383642 hasConceptScore W2174383642C98763669 @default.
- W2174383642 hasLocation W21743836421 @default.
- W2174383642 hasOpenAccess W2174383642 @default.
- W2174383642 hasPrimaryLocation W21743836421 @default.
- W2174383642 hasRelatedWork W1532326829 @default.
- W2174383642 hasRelatedWork W1546145014 @default.
- W2174383642 hasRelatedWork W1588716475 @default.
- W2174383642 hasRelatedWork W1996370694 @default.
- W2174383642 hasRelatedWork W1999524445 @default.
- W2174383642 hasRelatedWork W2019792447 @default.
- W2174383642 hasRelatedWork W2055295749 @default.
- W2174383642 hasRelatedWork W2082771257 @default.
- W2174383642 hasRelatedWork W2085350611 @default.
- W2174383642 hasRelatedWork W2099915247 @default.
- W2174383642 hasRelatedWork W2110638237 @default.
- W2174383642 hasRelatedWork W2122309903 @default.
- W2174383642 hasRelatedWork W2140021367 @default.
- W2174383642 hasRelatedWork W2148683490 @default.
- W2174383642 hasRelatedWork W2163891105 @default.
- W2174383642 hasRelatedWork W2334552891 @default.
- W2174383642 hasRelatedWork W2363629076 @default.
- W2174383642 hasRelatedWork W2377829222 @default.
- W2174383642 hasRelatedWork W2484259175 @default.
- W2174383642 hasRelatedWork W2182824541 @default.
- W2174383642 isParatext "false" @default.
- W2174383642 isRetracted "false" @default.
- W2174383642 magId "2174383642" @default.
- W2174383642 workType "article" @default.