New anisotropic diffusion operator in images filtering
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Fecha
2020
Autores
Vera, M
Gonzalez, E
Huérfano, Y
Gelvez, E
Valbuena, O
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Editor
IOP Publishing
Resumen
The 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.