Zobrazeno 1 - 6
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pro vyhledávání: '"Salim Ben Chaabane"'
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2010 (2010)
A novel method of colour image segmentation based on fuzzy homogeneity and data fusion techniques is presented. The general idea of mass function estimation in the Dempster-Shafer evidence theory of the histogram is extended to the homogeneity domain
Externí odkaz:
https://doaj.org/article/6591cac784ae485083699419c94f1b67
Publikováno v:
2022 2nd International Conference on Computing and Information Technology (ICCIT).
Autor:
Salim Ben Chaabane
Publikováno v:
International Journal for Research in Applied Science and Engineering Technology. :2954-2961
Publikováno v:
Circuits, Systems, and Signal Processing. 30:55-71
In this paper, the problem of colour image segmentation is addressed using the Dempster–Shafer (DS) theory. Examples are provided showing that this theory is able to take into account a large variety of special situations that occur and which are n
Publikováno v:
2009 3rd International Conference on Signals, Circuits and Systems (SCS).
This paper describes a new color image segmentation method based on data fusion techniques. The used methodology modeling in the Dempster-Shafer evidence theory is in general successful, for representing the information extracted from image as measur
Autor:
Salim Ben Chaabane, Farhat Fnaiech
Publikováno v:
BioMedical Engineering
Background Color image segmentation has been so far applied in many areas; hence, recently many different techniques have been developed and proposed. In the medical imaging area, the image segmentation may be helpful to provide assistance to doctor