Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Dorra Sellami Masmoudi"'
Publikováno v:
Computers & Electrical Engineering. 55:164-179
A hardware implementation of a new interval type-2 Beta neuro-fuzzy system with on-chip learning is proposed for image denoising application.An on-line incremental learning algorithm is proposed to make on-chip parameter learning ability feasible.The
Publikováno v:
Multimedia Tools and Applications. 75:687-707
In this article, a novel hand vein pattern recognition process for human identification is presented. Hand vein characteristics can be considered as more reliable in biometric domain compared with other biometric characteristics, such as palmprint an
Autor:
Amir Gargouri, Dorra Sellami Masmoudi
Publikováno v:
AEU - International Journal of Electronics and Communications. 67:513-520
This paper focuses on a new digital architecture of pulse mode neuro-fuzzy system (PMNFS) with on-chip learning ability. The main purpose goal is to make use of the outstanding features of neuro-fuzzy in function approximation, and implement a reconf
Publikováno v:
International Journal of Computer Applications. 68:1-5
In the last few years and over the last decade, different algorithms have been introduced for mass detection in digital mammograms. However, approximately all the proposed methods present a high number corresponding to false positif. In this paper, w
Publikováno v:
Journal of Image and Graphics. 1:72-75
In this paper, a new ground plane segmentation method is proposed for obstacle detection to improve the mobility of the visually impaired people by means of a novel electronic cane "Smartcane". Monocular camera was used which has the merits to get si
Publikováno v:
IPAS
In this paper, a self-constructing neuro-fuzzy (SCNF) classifier optimized by swarm intelligence technique is proposed for breast cancer diagnosis. The first step in the design is the definition of the fuzzy network structure. Accordingly, a rule gen
Publikováno v:
ICPRAM
ICPRAM, Feb 2016, Rome, Italy. Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, pp.351-358, 2016, 〈10.5220/0005754703510358〉
ICPRAM, Feb 2016, Rome, Italy. pp.351-358, ⟨10.5220/0005754703510358⟩
ICPRAM, Feb 2016, Rome, Italy. Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, pp.351-358, 2016, 〈10.5220/0005754703510358〉
ICPRAM, Feb 2016, Rome, Italy. pp.351-358, ⟨10.5220/0005754703510358⟩
International audience; This paper focuses on breast cancer of the mammary gland. Both basic segmentation steps and usual features are recalled. Then textural and morphological information are combined to improve the overall performance of breast MRI
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8cffb66545d7a8055e52cc2e8f4a626d
https://hal.archives-ouvertes.fr/hal-01391970/document
https://hal.archives-ouvertes.fr/hal-01391970/document
Publikováno v:
International Journal of Computer Applications. 56:15-19
Nowadays, mammography is currently considered as the most efficient way for the detection and diagnosis of breast cancer at early stages. In many case, due to the subtleness of the difference between normal features and cancerous ones and the bad ima
Publikováno v:
International Journal of Computer Applications. 21:40-45
Watershed transform, as was described by Vincent and Soille, is a segmentation algorithm based on a flooding process of the gradient image, which is observed as a topographic surface. Watershed transform aims at finding the peaks in this surface and
Publikováno v:
Circuits and Systems. :269-273
In this paper, we propose a design of a current controlled Quadrature Sinusoidal Oscillator. The proposed circuit employs three optimized Multi-output translinear second generation current conveyer (MCCII). The oscillation condition and the oscillati