Facebook pixel tracking

The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

Contact Info
Email info@thesai.org
Website thesai.org
Follow Us
Contact Info
Email info@thesai.org
Follow Us
Research Article | Open Access |

A New Automatic Method to Adjust Parameters for Object Recognition

Author 1: Issam Qaffou Author 2: Mohamed Sadgal Author 3: Aziz Elfazziki
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 3, No. 9 · Published 2012

DOI: https://doi.org/10.14569/IJACSA.2012.030932

Download PDF Cite Call for Papers

Abstract

To recognize an object in an image, the user must apply a combination of operators, where each operator has a set of parameters. These parameters must be “well” adjusted in order to reach good results. Usually, this adjustment is made manually by the user. In this paper we propose a new method to automate the process of parameter adjustment for an object recognition task. Our method is based on reinforcement learning, we use two types of agents: User Agent that gives the necessary information and Parameter Agent that adjusts the parameters of each operator. Due to the nature of reinforcement learning the results do not depend only on the system characteristics but also the user’s favorite choices.

Keywords

component Parameters adjustment image segmentation Q-learning reinforcement learning.

How to Cite this Article

Qaffou, I., Sadgal, M., & Elfazziki, A. (2012). A New Automatic Method to Adjust Parameters for Object Recognition. International Journal of Advanced Computer Science and Applications, 3(9). https://doi.org/10.14569/IJACSA.2012.030932

Qaffou, Issam, et al.. "A New Automatic Method to Adjust Parameters for Object Recognition." International Journal of Advanced Computer Science and Applications, vol. 3, no. 9, 2012, https://doi.org/10.14569/IJACSA.2012.030932.

@article{Qaffou2012,
  title     = {A New Automatic Method to Adjust Parameters for Object Recognition},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {3},
  number    = {9},
  year      = {2012},
  publisher = {The Science and Information Organization},
  author    = {Issam Qaffou and Mohamed Sadgal and Aziz Elfazziki},
  doi       = {10.14569/IJACSA.2012.030932},
  url       = {https://doi.org/10.14569/IJACSA.2012.030932}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.

Back to Issue
IJACSA Journal Cover

IJACSA