Amal Hjouji

Orcid: 0000-0001-8932-9061

According to our database1, Amal Hjouji authored at least 14 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2026
Two-phase detection-classification system for unprocessed white blood cell images using optimized krawtchouk moments.
Biomed. Signal Process. Control., 2026

2025
Accurate image reconstruction by separable krawtchouk-charlier moments with automatic parameter selection using artificial bee colony optimization.
Multim. Tools Appl., May, 2025

2024
Automatic lip-reading classification using deep learning approaches and optimized quaternion meixner moments by GWO algorithm.
Knowl. Based Syst., 2024

2023
An improved image clustering algorithm based on Kernel method and Tchebychev orthogonal moments.
Evol. Intell., August, 2023

The 2-Orthogonal and Orthogonal Radial Shape Moments for Image Representation and Recognition.
J. Math. Imaging Vis., April, 2023

A novel efficient clustering algorithm based on possibilistic approach and kernel technique for image clustering problems.
Appl. Intell., February, 2023

A comparative study and performance evaluation of discrete Tchebichef moments for image analysis.
Proceedings of the 6th International Conference on Networking, 2023

2022
Helmet-fourier orthogonal moments for image representation and recognition.
J. Supercomput., 2022

Orthogonal invariant Lagrange-Fourier moments for image recognition.
Expert Syst. Appl., 2022

2021
New set of adapted Gegenbauer-Chebyshev invariant moments for image recognition and classification.
J. Supercomput., 2021

New set of non-separable 2D and 3D invariant moments for image representation and recognition.
Multim. Tools Appl., 2021

Adapted Jacobi Orthogonal Invariant Moments for Image Representation and Recognition.
Circuits Syst. Signal Process., 2021

2020
Rotation scaling and translation invariants by a remediation of Hu's invariant moments.
Multim. Tools Appl., 2020

New Set of Non-separable Orthogonal Invariant Moments for Image Recognition.
J. Math. Imaging Vis., 2020


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