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 |

Gabor Descriptor for Representation of Spatial Feature

Author 1: Kohei Arai
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 12, No. 12 · Published 2021

DOI: https://doi.org/10.14569/IJACSA.2021.0121208

Download PDF Cite Call for Papers

Abstract

New spatial feature descriptor based on Gabor wavelet function is proposed. The proposed method is compared to Fourier descriptor. The experimental results with Advanced Earth Observing Satellite: ADEOS / Advanced Visible and Near-Infrared Radiometer: AVNIR image show an effectiveness of the proposed method. It is found that the restored image quality, in terms of root mean square error between the original and the restored images depends on the support length of the mother wavelet and is much better than that with the conventional Fourier descriptor method for spatial feature description.

Keywords

Spatial feature Gabor wavelet descriptor Fourier descriptor wavelet transformation ADEOS (advanced earth observing satellite) AVNIR (advanced visible and near-infrared radiometer)

How to Cite this Article

Arai, K. (2021). Gabor Descriptor for Representation of Spatial Feature. International Journal of Advanced Computer Science and Applications, 12(12). https://doi.org/10.14569/IJACSA.2021.0121208

Arai, Kohei. "Gabor Descriptor for Representation of Spatial Feature." International Journal of Advanced Computer Science and Applications, vol. 12, no. 12, 2021, https://doi.org/10.14569/IJACSA.2021.0121208.

@article{Arai2021,
  title     = {Gabor Descriptor for Representation of Spatial Feature},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {12},
  number    = {12},
  year      = {2021},
  publisher = {The Science and Information Organization},
  author    = {Kohei Arai},
  doi       = {10.14569/IJACSA.2021.0121208},
  url       = {https://doi.org/10.14569/IJACSA.2021.0121208}
}

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