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pro vyhledávání: '"Hanane BARRAH"'
Publikováno v:
Advances in Fuzzy Systems, Vol 2016 (2016)
The FCM (fuzzy c-mean) algorithm has been extended and modified in many ways in order to solve the image segmentation problem. However, almost all the extensions require the adjustment of at least one parameter that depends on the image itself. To ov
Externí odkaz:
https://doaj.org/article/d4195069365d4a39a596c06898ac847c
Autor:
Hanane BARRAH, Abdeljabbar Cherkaoui
Publikováno v:
International Journal of Information Science and Technology, Vol 3, Iss 4, Pp 3-13 (2019)
In this work, a fast and robust method for MR brain segmentation is proposed. This method is based on a fast and robust fuzzy clustering algorithm that is initialized close to the searched solution in order to speed up the segmentation process. To va
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99f4838a13dae58b35a5a8e2526e0516
Publikováno v:
Journal of Computer and Communications. :13-21
In the last decade, the MRI (Magnetic Resonance Imaging) image segmentation has become one of the most active research fields in the medical imaging domain. Because of the fuzzy nature of the MRI images, many researchers have adopted the fuzzy cluste
Autor:
Hanane Barrah, Abdeljabbar Cherkaoui
Publikováno v:
CIST
In this paper, we propose a hybrid segmentation method based on the fuzzy clustering approach and mathematical morphology. First, the grayscale image is segmented using a Fast and Robust Fuzzy C-means algorithm that takes into account the spatial inf
Publikováno v:
International Journal of Advanced Computer Science and Applications. 7
In the aim of providing sophisticated applications and getting benefits from the advantageous properties of agents, designing agent-based and multi-agent systems has become an important issue that received further consideration from many application
Autor:
Abdeljabbar Cherkaoui, Hanane Barrah
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9783319302966
Recently, the agents and multi-agent systems (MAS) field has known a significant breakthrough and covered a wide range of application domains. In order to keep up with this technological evolution, this paper concentrates on developing a MAS based on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c0abe9acac8a3b5c2bd4fd617be0f08
https://doi.org/10.1007/978-3-319-30298-0_71
https://doi.org/10.1007/978-3-319-30298-0_71
Autor:
Hanane Barrah, Abdeljabbar Cherkaoui
Publikováno v:
ICMCS
In this paper we are interested to extract ellipses using a fuzzy clustering algorithm. In literature, the will-known fuzzy clustering algorithms are based on the Euclidean distance, which can only be used to extract circular or spherical clusters, t