Resumen

ARMAS-COSTA, Ricardo Joaquín de; QUINTERO-TORRES, Shirley Viviana; ACOSTA-MUNOZ, Cristina  y  REY-TORRES, Carlos Camilo Guillermo. Radon Transformation Applied to the Segmentation of Grayscale Digital Images. Rev. ing. univ. Medellín [online]. 2018, vol.17, n.32, pp.193-207. ISSN 1692-3324.  https://doi.org/10.22395/rium.v17n32a10.

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.

Palabras clave : Radon transformation; segmentation; region of interest; binarized images.

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