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AuthorBen Said, Ahmed
AuthorFoufou, Sebti
AuthorAbidi, Mongi
Available date2023-10-08T08:41:46Z
Publication Date2013
Publication NameProceedings - 2013 International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2013
ResourceScopus
URIhttp://dx.doi.org/10.1109/SITIS.2013.22
URIhttp://hdl.handle.net/10576/48321
AbstractIn this paper, we propose a novel clustering algorithm based on Fuzzy C-Means (FCM) and Speeded-Up Robust Feature (SURF) for multispectral image segmentation. In the experiments, color images and multispectral images from IRIS Lab data base, which consists of face images taken along the visible spectrum, have been used to illustrate the performances of the proposed algorithm and to compare its outputs with other algorithms. Results demonstrate that the proposed method outperforms other clustering methods in segmenting color images as well as multispectral images.
Languageen
PublisherIEEE
SubjectClustering
Multispectral image
Segmentation
SURF
TitleA FCM and SURF based algorithm for segmentation of multispectral face images
TypeConference Paper
Pagination65-70
dc.accessType Abstract Only


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