Optimal image 2D/3D by Krawtchouk moments and ABC algorithm
Abstract
In our research, we provide an enhanced and effective Krawtchouk moments parameter p optimization approach using the Artificial Bee Colony (ABC) algorithm optimization technique for the purpose of completing tasks including the reconstruction and classification of 3D and 2D images with high quality. The proposed method, which uses the ABC algorithm to generate a suitable parameter based on Krawtchouck moments, aims to accurately characterize the image as a vector known as the descriptor vector of moments, which is then used to reconstruct the image for each order. The simulation and analysis of the findings demonstrate the high level of quality and effectiveness of the suggested KM-ABC approach for image reconstruction, as well as its excellent accuracy in images with and without noise.
Published
2024-02-21
How to Cite
AAKAM YOUSSEF, El Ogri, O., El Mekkaoui, J., Benslimane, M., & Hjouji, A. (2024). Optimal image 2D/3D by Krawtchouk moments and ABC algorithm. Statistics, Optimization & Information Computing, 12(3), 672-684. https://doi.org/10.19139/soic-2310-5070-1960
Section
Research Articles
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