International Conference on Differential Equations
and Dynamical Systems DEDS'2022
HOME | COMMITTEE | REGISTRATION | LIST OF REGISTRANTS | PROGRAM | ACCEPTED COMMUNICATIONS



Research Communication | Open Access
Volume 2022 | Communication ID 1970


Convolutional Neural Networks Architectures using in imagery
Meryem Ameur, Najlae Idrissi, Cherki Daoui
Academic Editors: Youssef EL FOUTAYENI - Chaouki AOUITI
Received
Accepted
Published
May 15, 12:27
July 01, 2022
July 15, 2022

Abstract: Here, we present some Convolutional Neural Networks Architectures using in imagery, we use two architectures one called by SegNet and another named U-Net, these architectures are used to segment some color images. In addition, we use the Hidden Makov Model: Hidden Markov Chain, we compare the three models SegNet, U-Net and Hidden Markov Chain in term of quality and execution time. The obtained results, demonstrate that SegNet, U-Net and Hidden Markov Chain provide the same results quality. But Convolutional Neural Networks segments the images fast then Hidden Markov Chain. In generally, the ...



International Conference on Differential Equations and Dynamic Systems DEDS @ 2022