Neuronal Images Denoising Using 2D Anisotropic Diffusion


Mustaffa, Izadora and Sim, Kok Swee and Wong, Eng Kiong (2021) Neuronal Images Denoising Using 2D Anisotropic Diffusion. In: 2nd FET PG Engineering Colloquium Proceedings 2021, 1-15 Dec. 2021, Online Conference. (Unpublished)

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Anisotropic diffusion filters such as the coherence diffusion technique improves images with flow–like structures by implementing the structure tensor. This allows orientation estimation of the image. The anisotropic diffusion filtering make use of the information applying them to the structure tensor. This diffusion method was used on additive and multiplicative noise on neuronal images.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Neuronal image, denoising, anisotropic diffusion
Subjects: T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL1-484 Motor vehicles. Cycles
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 28 Jan 2022 01:36
Last Modified: 28 Jan 2022 01:36


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