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pro vyhledávání: '"Kalti, Karim"'
Publikováno v:
In Neurocomputing 7 March 2024 573
Akademický článek
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Autor:
Chaibou, Mahaman Sani, Conze, Pierre-Henri, Kalti, Karim, Solaiman, Basel, Mahjoub, Mohamed Ali
Publikováno v:
J. of Electronic Imaging, 26(6), 061605 (2017)
This work presents a region-growing image segmentation approach based on superpixel decomposition. From an initial contour-constrained over-segmentation of the input image, the image segmentation is achieved by iteratively merging similar superpixels
Externí odkaz:
http://arxiv.org/abs/1803.06541
Autor:
Kalti, Karim1,2 karim.kalti@fsm.rnu.tn, Touil, Asma1
Publikováno v:
Journal of Classification. Nov2023, Vol. 40 Issue 3, p488-512. 25p.
We present in this paper an image segmentation approach that combines a fuzzy semantic region classification and a context based region-growing. Input image is first over-segmented. Then, prior domain knowledge is used to perform a fuzzy classificati
Externí odkaz:
http://arxiv.org/abs/1608.02373
This article describes different models based on Bayesian networks RB modeling expertise in the diagnosis of brain tumors. Indeed, they are well adapted to the representation of the uncertainty in the process of diagnosis of these tumors. In our work
Externí odkaz:
http://arxiv.org/abs/1207.2459
Publikováno v:
(IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 2, No. 7, pp 86-90, July 2011
Bayesian networks (BN) are used in a big range of applications but they have one issue concerning parameter learning. In real application, training data are always incomplete or some nodes are hidden. To deal with this problem many learning parameter
Externí odkaz:
http://arxiv.org/abs/1204.1681
Autor:
Mahjoub, Mohamed Ali, kalti, karim
Publikováno v:
International Journal of Advanced Computer Science and Applications, Special Issue on Image Processing and Analysis, May 2011
This paper introduces a Bayesian image segmentation algorithm based on finite mixtures. An EM algorithm is developed to estimate parameters of the Gaussian mixtures. The finite mixture is a flexible and powerful probabilistic modeling tool. It can be
Externí odkaz:
http://arxiv.org/abs/1204.1629
Autor:
Chaieb, Ramzi, Kalti, Karim, Luqman, Muhammad Muzzamil, Coustaty, Mickaël, Ogier, Jean-Marc, Essoukri Ben Amara, Najoua *
Publikováno v:
In Pattern Recognition December 2017 72:266-284
Autor:
Touil, Asma *, Kalti, Karim *
Publikováno v:
In Computer Methods and Programs in Biomedicine August 2016 132:137-147