Home › Researcher directory › Abdeslam Hmimid
Abdeslam Hmimid
Affiliation : Sidi Mohamed Ben Abdellah University
- 22Publications (affiliation in Morocco)
- 26Total publications
- 688Citations
- 17h-index
Research profile
Abdeslam Hmimid has 22 indexed publications (2012–2020). Their work appears mainly in “Multimedia Tools and Applications”, “Circuits Systems and Signal Processing” and “Advances in intelligent systems and computing”. Their most cited article, “Fast computation of separable two-dimensional discrete invariant moments for image classification” (2014), has been cited 71 times. 9 of these publications date from the last three years of activity. Their work is co-authored with at least 9 researchers.
Is this you? Get your research seen
Create your free DzCademia profile and add your articles: they will show up more easily on Google and in AI assistants like ChatGPT, so more people can read and cite your work.
Create my free profile Add my publicationsResearch areas
- Image Retrieval and Classification Techniques
- Computer Science and Engineering
- Advanced Data Compression Techniques
- Digital Image Processing Techniques
- Advanced Steganography and Watermarking Techniques
Publications (22)
- A fast and accurate computation of 2D and 3D generalized Laguerre moments for images analysis
- Fast computation of inverse Meixner moments transform using Clenshaw’s formula
- Fast Reconstruction of 3D Images Using Charlier Discrete Orthogonal Moments
- Image Analysis by Hahn Moments and a Digital Filter
- Fast and Stable Computation of the Tchebichef’s Moments Using Image Block Representation and Clenshaw’s Formula
- Fast and Stable Computation of the Charlier Moments and Their Inverses Using Digital Filters and Image Block Representation
- Image classification using separable invariant moments of Charlier-Meixner and support vector machine
- Fast Algorithm of 3D Discrete Image Orthogonal Moments Computation Based on 3D Cuboid
- Fast computation of Charlier moments and its inverses using Clenshaw’s recurrence formula for image analysis
- Image analysis by Meixner moments and a digital filter
- Image reconstruction by Krawtchouk moments via digital filter
- Image moments and reconstruction by Krawtchouk via Clenshaw's reccurence formula
- Image analysis using separable Krawtchouk-Tchebichef's moments
- Fast computation of separable two-dimensional discrete invariant moments for image classification
- A Fast Computation of Novel Set of Meixner Invariant Moments for Image Analysis
- Image analysis using separable discrete moments of Charlier-Hahn
- Image classification using a new set of separable two-dimensional discrete orthogonal invariant moments
- Image Classification Using Separable Discrete Moments of Charlier-Tchebichef
- Improving the performance of image classification by Hahn moment invariants
- A fast computation of Hahn moments for binary and gray-scale images
- A fast computation of charlier moments for binary and gray-scale images
- A fast method for reconstruction of binary and gray-scale images by the tchebichef moments
Publication venues
- Multimedia Tools and Applications × 6
- Circuits Systems and Signal Processing × 3
- Advances in intelligent systems and computing × 2
- IEEE Congress on Information Science and Technology (CiSt) × 2
- Journal of Mathematical Imaging and Vision × 1
- International Conference on Intelligent Systems and Computer Vision (ISCV) × 1
Publications per year
- 20201
- 20194
- 20184
- 20174
- 20145
- 20131
- 20123
Collaborations
Partner institutions : Chouaib Doukkali University · Mohammed V University
Co-authors
- Hassan Qjidaa
- Mhamed Sayyouri
- Hicham Karmouni
- Tarik Jahid
- A. Rezzouk
- Anass El Affar
- Zouhir Lakhili
- Imad El Affar
- Ayoub Azzayani
Bibliographic data from OpenAlex (open database).
Why choose Dzcademia?
Profiles, articles and conference contributions: give your research a structured public presence. Integrated metadata help search engines and AI assistants identify your work and understand its references.
Comment with Google
Sign in with Google to comment directly on this page.