Matches in SemOpenAlex for { <https://semopenalex.org/work/W2023254885> ?p ?o ?g. }
Showing items 1 to 80 of
80
with 100 items per page.
- W2023254885 abstract "There is always much difficult in the MR image segmentation. Although fuzzy c-means(FCM) clustering algorithm has been widely used in the field of image segmentation study, some inherent deficiencies of this algorithm especially the high cost of computation made the algorithm to be difficult widely used in practice. A novel algorithm, based on kernel fuzzy c-means (KFCM) clustering algorithm and the k-nearest neighbor (KNN) algorithm, is proposed to improve the performance of MR image segmentation. In this algorithm, the statistical gray level histogram of image is used in KFCM algorithm to speed up the algorithm. Furthermore, the spatial information of image is also considered by k-nearest neighbor algorithm based on kernel methods. With kernel methods each pixel of image is mapped into a high-dimensional feature space where FCM algorithm and KNN algorithm are carried out. Experiments show that the proposed algorithm is effective and efficient in image segmentation." @default.
- W2023254885 created "2016-06-24" @default.
- W2023254885 creator A5034101727 @default.
- W2023254885 creator A5050398532 @default.
- W2023254885 creator A5058499562 @default.
- W2023254885 date "2012-10-01" @default.
- W2023254885 modified "2023-09-25" @default.
- W2023254885 title "An improved MR image segmentation method based on fuzzy c-means clustering" @default.
- W2023254885 cites W1585535067 @default.
- W2023254885 cites W2063931766 @default.
- W2023254885 cites W2115242586 @default.
- W2023254885 cites W2125796922 @default.
- W2023254885 cites W2160172739 @default.
- W2023254885 cites W2368136745 @default.
- W2023254885 cites W1497201049 @default.
- W2023254885 doi "https://doi.org/10.1109/iccps.2012.6384288" @default.
- W2023254885 hasPublicationYear "2012" @default.
- W2023254885 type Work @default.
- W2023254885 sameAs 2023254885 @default.
- W2023254885 citedByCount "3" @default.
- W2023254885 countsByYear W20232548852013 @default.
- W2023254885 countsByYear W20232548852014 @default.
- W2023254885 countsByYear W20232548852021 @default.
- W2023254885 crossrefType "proceedings-article" @default.
- W2023254885 hasAuthorship W2023254885A5034101727 @default.
- W2023254885 hasAuthorship W2023254885A5050398532 @default.
- W2023254885 hasAuthorship W2023254885A5058499562 @default.
- W2023254885 hasConcept C114614502 @default.
- W2023254885 hasConcept C124504099 @default.
- W2023254885 hasConcept C153180895 @default.
- W2023254885 hasConcept C154945302 @default.
- W2023254885 hasConcept C17212007 @default.
- W2023254885 hasConcept C206824153 @default.
- W2023254885 hasConcept C25694479 @default.
- W2023254885 hasConcept C33923547 @default.
- W2023254885 hasConcept C41008148 @default.
- W2023254885 hasConcept C65885262 @default.
- W2023254885 hasConcept C73555534 @default.
- W2023254885 hasConcept C74193536 @default.
- W2023254885 hasConcept C89600930 @default.
- W2023254885 hasConceptScore W2023254885C114614502 @default.
- W2023254885 hasConceptScore W2023254885C124504099 @default.
- W2023254885 hasConceptScore W2023254885C153180895 @default.
- W2023254885 hasConceptScore W2023254885C154945302 @default.
- W2023254885 hasConceptScore W2023254885C17212007 @default.
- W2023254885 hasConceptScore W2023254885C206824153 @default.
- W2023254885 hasConceptScore W2023254885C25694479 @default.
- W2023254885 hasConceptScore W2023254885C33923547 @default.
- W2023254885 hasConceptScore W2023254885C41008148 @default.
- W2023254885 hasConceptScore W2023254885C65885262 @default.
- W2023254885 hasConceptScore W2023254885C73555534 @default.
- W2023254885 hasConceptScore W2023254885C74193536 @default.
- W2023254885 hasConceptScore W2023254885C89600930 @default.
- W2023254885 hasLocation W20232548851 @default.
- W2023254885 hasOpenAccess W2023254885 @default.
- W2023254885 hasPrimaryLocation W20232548851 @default.
- W2023254885 hasRelatedWork W1636440088 @default.
- W2023254885 hasRelatedWork W1644439378 @default.
- W2023254885 hasRelatedWork W1968240274 @default.
- W2023254885 hasRelatedWork W2007977450 @default.
- W2023254885 hasRelatedWork W2019769385 @default.
- W2023254885 hasRelatedWork W2047882580 @default.
- W2023254885 hasRelatedWork W2060405013 @default.
- W2023254885 hasRelatedWork W2109486871 @default.
- W2023254885 hasRelatedWork W2115968199 @default.
- W2023254885 hasRelatedWork W2160113446 @default.
- W2023254885 hasRelatedWork W2312980336 @default.
- W2023254885 hasRelatedWork W2349479255 @default.
- W2023254885 hasRelatedWork W2357138471 @default.
- W2023254885 hasRelatedWork W2359741043 @default.
- W2023254885 hasRelatedWork W2369975563 @default.
- W2023254885 hasRelatedWork W2370205761 @default.
- W2023254885 hasRelatedWork W2376934856 @default.
- W2023254885 hasRelatedWork W2383525669 @default.
- W2023254885 hasRelatedWork W2547140108 @default.
- W2023254885 hasRelatedWork W3009680904 @default.
- W2023254885 isParatext "false" @default.
- W2023254885 isRetracted "false" @default.
- W2023254885 magId "2023254885" @default.
- W2023254885 workType "article" @default.