Matches in SemOpenAlex for { <https://semopenalex.org/work/W2963961044> ?p ?o ?g. }
- W2963961044 endingPage "2092" @default.
- W2963961044 startingPage "2078" @default.
- W2963961044 abstract "Clustering algorithms by minimizing an objective function share a clear drawback of having to set the number of clusters manually. Although density peak clustering is able to find the number of clusters, it suffers from memory overflow when it is used for image segmentation because a moderate-size image usually includes a large number of pixels leading to a huge similarity matrix. To address this issue, here we proposed an automatic fuzzy clustering framework (AFCF) for image segmentation. The proposed framework has threefold contributions. First, the idea of superpixel is used for the density peak (DP) algorithm, which efficiently reduces the size of the similarity matrix and thus improves the computational efficiency of the DP algorithm. Second, we employ a density balance algorithm to obtain a robust decision-graph that helps the DP algorithm achieve fully automatic clustering. Finally, a fuzzy c-means clustering based on prior entropy is used in the framework to improve image segmentation results. Because the spatial neighboring information of both the pixels and membership are considered, the final segmentation result is improved effectively. Experiments show that the proposed framework not only achieves automatic image segmentation, but also provides better segmentation results than state-of-the-art algorithms." @default.
- W2963961044 created "2019-07-30" @default.
- W2963961044 creator A5010643037 @default.
- W2963961044 creator A5029335401 @default.
- W2963961044 creator A5032807819 @default.
- W2963961044 creator A5035469537 @default.
- W2963961044 creator A5036558091 @default.
- W2963961044 creator A5075570681 @default.
- W2963961044 date "2020-09-01" @default.
- W2963961044 modified "2023-10-14" @default.
- W2963961044 title "Automatic Fuzzy Clustering Framework for Image Segmentation" @default.
- W2963961044 cites W1510047790 @default.
- W2963961044 cites W1589895371 @default.
- W2963961044 cites W1961392663 @default.
- W2963961044 cites W1965126626 @default.
- W2963961044 cites W1973771202 @default.
- W2963961044 cites W1976047850 @default.
- W2963961044 cites W1992147426 @default.
- W2963961044 cites W1995450389 @default.
- W2963961044 cites W1999478155 @default.
- W2963961044 cites W2040929534 @default.
- W2963961044 cites W2057923756 @default.
- W2963961044 cites W2067191022 @default.
- W2963961044 cites W2070813603 @default.
- W2963961044 cites W2080668963 @default.
- W2963961044 cites W2101534792 @default.
- W2963961044 cites W2108424265 @default.
- W2963961044 cites W2108859253 @default.
- W2963961044 cites W2110158442 @default.
- W2963961044 cites W2114850187 @default.
- W2963961044 cites W2115242586 @default.
- W2963961044 cites W2118136617 @default.
- W2963961044 cites W2118246710 @default.
- W2963961044 cites W2119531662 @default.
- W2963961044 cites W2121947440 @default.
- W2963961044 cites W2125297725 @default.
- W2963961044 cites W2126687887 @default.
- W2963961044 cites W2138810473 @default.
- W2963961044 cites W2152632881 @default.
- W2963961044 cites W2165012164 @default.
- W2963961044 cites W2165835468 @default.
- W2963961044 cites W2169499040 @default.
- W2963961044 cites W2293105860 @default.
- W2963961044 cites W2323776918 @default.
- W2963961044 cites W2343614814 @default.
- W2963961044 cites W2464278975 @default.
- W2963961044 cites W2473655448 @default.
- W2963961044 cites W2529970009 @default.
- W2963961044 cites W2592370397 @default.
- W2963961044 cites W2598492571 @default.
- W2963961044 cites W2620456568 @default.
- W2963961044 cites W2785177491 @default.
- W2963961044 cites W2788714147 @default.
- W2963961044 cites W2901602964 @default.
- W2963961044 cites W2901705472 @default.
- W2963961044 cites W2902972690 @default.
- W2963961044 cites W2905621769 @default.
- W2963961044 cites W3102894800 @default.
- W2963961044 cites W4212803998 @default.
- W2963961044 doi "https://doi.org/10.1109/tfuzz.2019.2930030" @default.
- W2963961044 hasPublicationYear "2020" @default.
- W2963961044 type Work @default.
- W2963961044 sameAs 2963961044 @default.
- W2963961044 citedByCount "86" @default.
- W2963961044 countsByYear W29639610442020 @default.
- W2963961044 countsByYear W29639610442021 @default.
- W2963961044 countsByYear W29639610442022 @default.
- W2963961044 countsByYear W29639610442023 @default.
- W2963961044 crossrefType "journal-article" @default.
- W2963961044 hasAuthorship W2963961044A5010643037 @default.
- W2963961044 hasAuthorship W2963961044A5029335401 @default.
- W2963961044 hasAuthorship W2963961044A5032807819 @default.
- W2963961044 hasAuthorship W2963961044A5035469537 @default.
- W2963961044 hasAuthorship W2963961044A5036558091 @default.
- W2963961044 hasAuthorship W2963961044A5075570681 @default.
- W2963961044 hasBestOaLocation W29639610441 @default.
- W2963961044 hasConcept C124504099 @default.
- W2963961044 hasConcept C153180895 @default.
- W2963961044 hasConcept C154945302 @default.
- W2963961044 hasConcept C17212007 @default.
- W2963961044 hasConcept C206824153 @default.
- W2963961044 hasConcept C25694479 @default.
- W2963961044 hasConcept C41008148 @default.
- W2963961044 hasConcept C42314347 @default.
- W2963961044 hasConcept C65885262 @default.
- W2963961044 hasConcept C73555534 @default.
- W2963961044 hasConcept C89600930 @default.
- W2963961044 hasConceptScore W2963961044C124504099 @default.
- W2963961044 hasConceptScore W2963961044C153180895 @default.
- W2963961044 hasConceptScore W2963961044C154945302 @default.
- W2963961044 hasConceptScore W2963961044C17212007 @default.
- W2963961044 hasConceptScore W2963961044C206824153 @default.
- W2963961044 hasConceptScore W2963961044C25694479 @default.
- W2963961044 hasConceptScore W2963961044C41008148 @default.
- W2963961044 hasConceptScore W2963961044C42314347 @default.
- W2963961044 hasConceptScore W2963961044C65885262 @default.
- W2963961044 hasConceptScore W2963961044C73555534 @default.
- W2963961044 hasConceptScore W2963961044C89600930 @default.