Vera, MGonzalez, EHuérfano, YGelvez, EValbuena, O2020-04-162020-04-16202017426596https://hdl.handle.net/20.500.12442/5118The anisotropic di usion lters have become in the fundamental bases to address the medical images noise problem. The main attributes of these lters are: the noise removal e ectiveness and the preservation of the information belonging to the edges that delimit the objects of an image. Due to these excellent attributes, through this article, a comparative study is proposed between a new di usion operator and the Lorentz operator, proposed by the pioneers of anisotropic di usion. For this, a strategy consisting of two phases is designed. In the rst, called operator construction, the composition of functions is used to generate a new di usion operator that meets with the conditions reported for this kind of the mathematical object. In the second phase, denominated ltering, a synthetic cardiac images database, based on computed tomography, is ltered using the aforementioned operators. According with the value obtained for the peak of the signal-to-noise ratio, the new operator shows similar performance to the Lorentz operator. The implementation of this new operator contributes to the generation of new knowledge in digital image processing context.pdfengAttribution-NonCommercial-NoDerivatives 4.0 Internacionalarticleinfo:eu-repo/semantics/openAccesshttps://doi.org/10.1088/1742-6596/1448/1/012019