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

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Research Article | Open Access |

A New Algorithm to Represent Texture Images

Author 1: Silvia María Ojeda Author 2: Grisel Maribel Britos
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 4, No. 6 · Published 2013

DOI: https://doi.org/10.14569/IJACSA.2013.040614

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Abstract

In recent times the spatial autoregressive models have been extensively used to represent images. In this paper we propose an algorithm to represent and reproduce texture images based on the estimation of spatial autoregressive processes. The image intensity is locally modeled by a first spatial autoregressive model with support in a strongly causal prediction region on the plane. A basic criteria to quantify similarity between two images is used to locally select this region among four different possibilities, corresponding to the four strongly causal regions on the plane. Two global image similarity measures are used to evaluate the performance of our proposal.

Keywords

Autoregressive Models Texture Images Similarity Measures.

How to Cite this Article

Ojeda, S. M., & Britos, G. M. (2013). A New Algorithm to Represent Texture Images. International Journal of Advanced Computer Science and Applications, 4(6). https://doi.org/10.14569/IJACSA.2013.040614

Ojeda, Silvia María, and Grisel Maribel Britos. "A New Algorithm to Represent Texture Images." International Journal of Advanced Computer Science and Applications, vol. 4, no. 6, 2013, https://doi.org/10.14569/IJACSA.2013.040614.

@article{Ojeda2013,
  title     = {A New Algorithm to Represent Texture Images},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {4},
  number    = {6},
  year      = {2013},
  publisher = {The Science and Information Organization},
  author    = {Silvia María Ojeda and Grisel Maribel Britos},
  doi       = {10.14569/IJACSA.2013.040614},
  url       = {https://doi.org/10.14569/IJACSA.2013.040614}
}

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.

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