Image Registration Using the Arithmetic Optimization Algorithm for Robotic Visual Servoing
Abstract Visual servoing using image registration is a method employed in robotics to control the movement of a system using visual information. In this context, we propose a new intensity-based image registration algorithm (IBIR) that uses information derived from images acquired at different times...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-01-01
|
| Series: | International Journal of Computational Intelligence Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44196-024-00612-7 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832585431569399808 |
|---|---|
| author | Mohamed Kmich Inssaf Harrade Hicham Karmouni Mhamed Sayyouri S. S. Askar Mohamed Abouhawwash |
| author_facet | Mohamed Kmich Inssaf Harrade Hicham Karmouni Mhamed Sayyouri S. S. Askar Mohamed Abouhawwash |
| author_sort | Mohamed Kmich |
| collection | DOAJ |
| description | Abstract Visual servoing using image registration is a method employed in robotics to control the movement of a system using visual information. In this context, we propose a new intensity-based image registration algorithm (IBIR) that uses information derived from images acquired at different times or from different views to determine the parameters of the geometric transformations needed to align these images. The Arithmetic Optimization Algorithm (AOA) is used to optimize these parameters, minimizing the difference between the images to be aligned. The proposed algorithm, Intensity-Based Image Registration via Arithmetic Optimisation Algorithm (IBIRAOA), is robust to image data fluctuations and perturbations and can avoid local optima. Simulation results prove the importance and efficiency of the proposed algorithm in terms of computation time and similarity of aligned images compared to other methods based on various metaheuristics. In addition, our results confirm a significant improvement in the trajectory of the wheeled mobile robot, thus reinforcing the overall effectiveness of our method in practical navigation and robotic control applications. |
| format | Article |
| id | doaj-art-785c1a5e58d745f09ea0999670d2c564 |
| institution | Kabale University |
| issn | 1875-6883 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Springer |
| record_format | Article |
| series | International Journal of Computational Intelligence Systems |
| spelling | doaj-art-785c1a5e58d745f09ea0999670d2c5642025-01-26T12:51:46ZengSpringerInternational Journal of Computational Intelligence Systems1875-68832025-01-0118111210.1007/s44196-024-00612-7Image Registration Using the Arithmetic Optimization Algorithm for Robotic Visual ServoingMohamed Kmich0Inssaf Harrade1Hicham Karmouni2Mhamed Sayyouri3S. S. Askar4Mohamed Abouhawwash5Engineering, Systems, and Applications Laboratory, National School of Applied Sciences, Sidi Mohamed Ben Abdellah UniversityEngineering, Systems, and Applications Laboratory, National School of Applied Sciences, Sidi Mohamed Ben Abdellah UniversityNational School of Applied Sciences, Cadi Ayyad UniversityEngineering, Systems, and Applications Laboratory, National School of Applied Sciences, Sidi Mohamed Ben Abdellah UniversityDepartment of Statistics and Operations Research, College of Science, King Saud UniversityDepartment of Computational Mathematics, Science, and Engineering (CMSE), Michigan State UniversityAbstract Visual servoing using image registration is a method employed in robotics to control the movement of a system using visual information. In this context, we propose a new intensity-based image registration algorithm (IBIR) that uses information derived from images acquired at different times or from different views to determine the parameters of the geometric transformations needed to align these images. The Arithmetic Optimization Algorithm (AOA) is used to optimize these parameters, minimizing the difference between the images to be aligned. The proposed algorithm, Intensity-Based Image Registration via Arithmetic Optimisation Algorithm (IBIRAOA), is robust to image data fluctuations and perturbations and can avoid local optima. Simulation results prove the importance and efficiency of the proposed algorithm in terms of computation time and similarity of aligned images compared to other methods based on various metaheuristics. In addition, our results confirm a significant improvement in the trajectory of the wheeled mobile robot, thus reinforcing the overall effectiveness of our method in practical navigation and robotic control applications.https://doi.org/10.1007/s44196-024-00612-7Arithmetic Optimization AlgorithmImage RegistrationMetaheuristic Optimization AlgorithmsRobotic Visual Servoing |
| spellingShingle | Mohamed Kmich Inssaf Harrade Hicham Karmouni Mhamed Sayyouri S. S. Askar Mohamed Abouhawwash Image Registration Using the Arithmetic Optimization Algorithm for Robotic Visual Servoing International Journal of Computational Intelligence Systems Arithmetic Optimization Algorithm Image Registration Metaheuristic Optimization Algorithms Robotic Visual Servoing |
| title | Image Registration Using the Arithmetic Optimization Algorithm for Robotic Visual Servoing |
| title_full | Image Registration Using the Arithmetic Optimization Algorithm for Robotic Visual Servoing |
| title_fullStr | Image Registration Using the Arithmetic Optimization Algorithm for Robotic Visual Servoing |
| title_full_unstemmed | Image Registration Using the Arithmetic Optimization Algorithm for Robotic Visual Servoing |
| title_short | Image Registration Using the Arithmetic Optimization Algorithm for Robotic Visual Servoing |
| title_sort | image registration using the arithmetic optimization algorithm for robotic visual servoing |
| topic | Arithmetic Optimization Algorithm Image Registration Metaheuristic Optimization Algorithms Robotic Visual Servoing |
| url | https://doi.org/10.1007/s44196-024-00612-7 |
| work_keys_str_mv | AT mohamedkmich imageregistrationusingthearithmeticoptimizationalgorithmforroboticvisualservoing AT inssafharrade imageregistrationusingthearithmeticoptimizationalgorithmforroboticvisualservoing AT hichamkarmouni imageregistrationusingthearithmeticoptimizationalgorithmforroboticvisualservoing AT mhamedsayyouri imageregistrationusingthearithmeticoptimizationalgorithmforroboticvisualservoing AT ssaskar imageregistrationusingthearithmeticoptimizationalgorithmforroboticvisualservoing AT mohamedabouhawwash imageregistrationusingthearithmeticoptimizationalgorithmforroboticvisualservoing |