Radon Transformation Applied to the Segmentation of Grayscale Digital Images

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Published: 2018-07-04
DOI: https://doi.org/10.22395/rium.v17n32a10
Keywords:
Radon transformation, segmentation, region of interest, binarized images.

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Vol. 17 No. 32 (2018): January-June

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Articles

The total or partial reproduction of the contents of the journal for educational, research, or academic purposes is authorized as long as the source is cited. For reproduction for other purposes, express authorization from the Sello Editorial Universidad de Medellín is required.

Main Article Content

Ricarod Joaquín De Armas Costa
Universidad Central image/svg+xml , Central University image/svg+xml , Universidad Central image/svg+xml
Shirley Viviana Quintero Torres
Universidad Central image/svg+xml , Central University image/svg+xml , Universidad Central image/svg+xml
Cristina Acosta Muñoz
Universidad Central image/svg+xml , Central University image/svg+xml , Universidad Central image/svg+xml
Carlos Camilo Guillermo Rey Torres
Universidad Central image/svg+xml , Central University image/svg+xml , Universidad Central image/svg+xml

Abstract

In this scientific research article, the community interested in digital image processing is introduced to the new application of Radon’s transformation to segment images in grayscale, which allows the identification and classification of regions or objects, which can be extended to color images. Results obtained were compared with the results of two classic segmentation algorithms: the optimized Otsu thresholding algorithm, and the Seeded Region Growing growth algorithm.

Article Details

How to Cite

[1]
R. J. De Armas Costa, S. V. Quintero Torres, C. Acosta Muñoz, and C. C. G. Rey Torres, “Radon Transformation Applied to the Segmentation of Grayscale Digital Images”, rev.ing.univ.Medellin, vol. 17, no. 32, pp. 213–227, Jul. 2018, doi: 10.22395/rium.v17n32a10.

References

Author Biographies

Ricarod Joaquín De Armas Costa, Universidad Central, Central University, Universidad Central

DEPARTAMENTO DE MATEMÁTICAS

DOCENTE - INVESTIGADOR

Shirley Viviana Quintero Torres, Universidad Central, Central University, Universidad Central

DEPARTAMENTO DE INGENIERÍA ELECTRÓNICA

DOCENTE - INVESTIGADOR

Cristina Acosta Muñoz, Universidad Central, Central University, Universidad Central

DEPARTAMENTO DE INGENIERÍA AMBIENTAL

DOCENTE - INVESTIGADOR

Carlos Camilo Guillermo Rey Torres, Universidad Central, Central University, Universidad Central

DEPARTAMENTO DE MATEMÁTICAS

DOCENTE - INVESTIGADOR