Finite difference methods in image processing

Authors

  • Juan Gabriel Triana Universidad ECCI, Bogotá, Colombia.
  • Luis Alejandro Ferro Alfonso Programa de Estadística, Universidad ECCI, Bogotá, Colombia.

DOI:

https://doi.org/10.17268/sel.mat.2021.02.17

Keywords:

Finite difference, Edge detection, Image restoration

Abstract

Digital Image processing has been a research area of interest in the last decades, standing out for its

applications in the analysis of diagnostic images and astronomical images. In this paper, we perform an

overview of edge detection methods through finite-difference to present edge detection as a problem-based learning strategy for numerical differentiation, in order to improve the students’ skills in modeling and algorithmic thinking in numerical analysis courses. In addition, we present image restoration through finite-difference as a problem involving partial differential equations and software tools.

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Published

2021-12-27

How to Cite

Triana, J. G., & Ferro Alfonso, L. A. (2021). Finite difference methods in image processing. Selecciones Matemáticas, 8(02), 411-416. https://doi.org/10.17268/sel.mat.2021.02.17

Issue

Section

Mathematics' Teaching