Matches in SemOpenAlex for { <https://semopenalex.org/work/W2149356023> ?p ?o ?g. }
Showing items 1 to 88 of
88
with 100 items per page.
- W2149356023 abstract "Research on image processing has shown that combining segmentation methods may lead to a solid approach to extract semantic information from different sort of images. Within this context, the Normalized Cut (NCut) is usually used as a final partitioning tool for graphs modeled in some chosen method. This work explores the Watershed Transform as a modeling tool, using different criteria of the hierarchical Watershed to convert an image into an adjacency graph. The Watershed is combined with an unsupervised distance learning step that redistributes the graph weights and redefines the Similarity matrix, before the final segmentation step using NCut. Adopting the Berkeley Segmentation Data Set and Benchmark as a background, our goal is to compare the results obtained for this method with previous work to validate its performance." @default.
- W2149356023 created "2016-06-24" @default.
- W2149356023 creator A5035637106 @default.
- W2149356023 creator A5053529353 @default.
- W2149356023 creator A5077921277 @default.
- W2149356023 creator A5078511671 @default.
- W2149356023 date "2014-04-01" @default.
- W2149356023 modified "2023-10-16" @default.
- W2149356023 title "Image segmentation through combined methods: Watershed transform, unsupervised distance learning and Normalized Cut" @default.
- W2149356023 cites W1705672446 @default.
- W2149356023 cites W1964363264 @default.
- W2149356023 cites W1981385563 @default.
- W2149356023 cites W2083305080 @default.
- W2149356023 cites W2093926511 @default.
- W2149356023 cites W2110158442 @default.
- W2149356023 cites W2121947440 @default.
- W2149356023 cites W2122543125 @default.
- W2149356023 cites W2156365280 @default.
- W2149356023 doi "https://doi.org/10.1109/ssiai.2014.6806052" @default.
- W2149356023 hasPublicationYear "2014" @default.
- W2149356023 type Work @default.
- W2149356023 sameAs 2149356023 @default.
- W2149356023 citedByCount "3" @default.
- W2149356023 countsByYear W21493560232017 @default.
- W2149356023 countsByYear W21493560232019 @default.
- W2149356023 countsByYear W21493560232020 @default.
- W2149356023 crossrefType "proceedings-article" @default.
- W2149356023 hasAuthorship W2149356023A5035637106 @default.
- W2149356023 hasAuthorship W2149356023A5053529353 @default.
- W2149356023 hasAuthorship W2149356023A5077921277 @default.
- W2149356023 hasAuthorship W2149356023A5078511671 @default.
- W2149356023 hasConcept C110484373 @default.
- W2149356023 hasConcept C11413529 @default.
- W2149356023 hasConcept C124504099 @default.
- W2149356023 hasConcept C132525143 @default.
- W2149356023 hasConcept C13280743 @default.
- W2149356023 hasConcept C150547873 @default.
- W2149356023 hasConcept C153180895 @default.
- W2149356023 hasConcept C154945302 @default.
- W2149356023 hasConcept C166957645 @default.
- W2149356023 hasConcept C185798385 @default.
- W2149356023 hasConcept C205649164 @default.
- W2149356023 hasConcept C23123220 @default.
- W2149356023 hasConcept C25694479 @default.
- W2149356023 hasConcept C2779343474 @default.
- W2149356023 hasConcept C31972630 @default.
- W2149356023 hasConcept C41008148 @default.
- W2149356023 hasConcept C65885262 @default.
- W2149356023 hasConcept C80444323 @default.
- W2149356023 hasConcept C88548561 @default.
- W2149356023 hasConcept C89600930 @default.
- W2149356023 hasConceptScore W2149356023C110484373 @default.
- W2149356023 hasConceptScore W2149356023C11413529 @default.
- W2149356023 hasConceptScore W2149356023C124504099 @default.
- W2149356023 hasConceptScore W2149356023C132525143 @default.
- W2149356023 hasConceptScore W2149356023C13280743 @default.
- W2149356023 hasConceptScore W2149356023C150547873 @default.
- W2149356023 hasConceptScore W2149356023C153180895 @default.
- W2149356023 hasConceptScore W2149356023C154945302 @default.
- W2149356023 hasConceptScore W2149356023C166957645 @default.
- W2149356023 hasConceptScore W2149356023C185798385 @default.
- W2149356023 hasConceptScore W2149356023C205649164 @default.
- W2149356023 hasConceptScore W2149356023C23123220 @default.
- W2149356023 hasConceptScore W2149356023C25694479 @default.
- W2149356023 hasConceptScore W2149356023C2779343474 @default.
- W2149356023 hasConceptScore W2149356023C31972630 @default.
- W2149356023 hasConceptScore W2149356023C41008148 @default.
- W2149356023 hasConceptScore W2149356023C65885262 @default.
- W2149356023 hasConceptScore W2149356023C80444323 @default.
- W2149356023 hasConceptScore W2149356023C88548561 @default.
- W2149356023 hasConceptScore W2149356023C89600930 @default.
- W2149356023 hasLocation W21493560231 @default.
- W2149356023 hasOpenAccess W2149356023 @default.
- W2149356023 hasPrimaryLocation W21493560231 @default.
- W2149356023 hasRelatedWork W134976887 @default.
- W2149356023 hasRelatedWork W1669643531 @default.
- W2149356023 hasRelatedWork W1982826852 @default.
- W2149356023 hasRelatedWork W2021143974 @default.
- W2149356023 hasRelatedWork W2274529912 @default.
- W2149356023 hasRelatedWork W2384989255 @default.
- W2149356023 hasRelatedWork W2517104666 @default.
- W2149356023 hasRelatedWork W2549936415 @default.
- W2149356023 hasRelatedWork W2566648451 @default.
- W2149356023 hasRelatedWork W1967061043 @default.
- W2149356023 isParatext "false" @default.
- W2149356023 isRetracted "false" @default.
- W2149356023 magId "2149356023" @default.
- W2149356023 workType "article" @default.