Radon Transformation Applied to the Segmentation of Grayscale Digital Images

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.

• Autores: De Armas Costa, Ricarod Joaquín; Quintero Torres, Shirley Viviana; Acosta Muñoz, Cristina; Rey Torres, Carlos Camilo Guillermo
• Tipo de recurso: Article of journal
• Fecha de publicación: 2018
• Institución: Universidad de Medellín
• Repositorio: Repositorio UDEM
• Idioma: spa
• OAI Identifier: oai:repository.udem.edu.co:11407/5498
• Acceso en línea: http://hdl.handle.net/11407/5498; https://doi.org/10.22395/rium.v17n32a10
• Palabra clave: Radon transformation; Segmentation; Region of interest; Binarized images; Transformada de Radon; Segmentação; Região de interesse; Imagens binarizadas; Transformada de Radon; Segmentación; Región de interés; Imágenes binarizadas
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/