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espanolEn este articulo de investigacion cientifica se da a conocer a la comunidad interesada en el procesamiento digital de imagenes, una aplicacion inedita de la transformada de Radon para segmentar imagenes en escala de grises, lo que permite la identificacion y clasificacion de regiones u objetos, misma que puede extenderse a imagenes en color. Los resultados obtenidos se compararon con los resultados de dos algoritmos clasicos de segmentacion: el algoritmo de umbralizacion Otsu optimizado, y el algoritmo de crecimiento de regiones Seeded Region Growing. EnglishIn this scientific research article, the community interested in digitalimage 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. portuguesEste artigo de pesquisa cientifica esta dirigido a comunidade interessa no processamento digital de imagens, uma aplicacao inedita da transformada de Radon para segmentar imagens em escala de cinzas, o que permite a identificacao e classificacao de regioes ou objetos, a qual se pode estender a imagens em cor. Os resultados obtidos foram comparados com os resultados de dois algoritmos classicos de segmentacao: o algoritmo de umbralizacao Otsu otimizado e o algoritmo de crescimento de regioes Seeded Region Growing.

La transformada de Radon aplicada a la segmentación de imágenes digitales en escala de grises