2020-03-262020-03-2620192019 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 - Conference Proceedings9781728114910https://hdl.handle.net/20.500.12585/9148Ultrasound imaging is a safe and cost-effective diagnostic tool, but the quality of the images is affected by speckle noise and artifacts. Anisotropic diffusion filters can be used to reduce noise and preserve the edges in the image. However, this technique is very sensitive to the number of iterations selected. This paper proposes a stopping criterion for effective noise removal without blurring the edges, based on the relative variance between the estimated denoised image and the original one. Different quality metrics were evaluated in 25 test images. The results suggest that the proposed stopping criterion can be implemented efficiently and aids in the process of automation of the filter. © 2019 IEEE.Recurso electrónicoapplication/pdfenghttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/conferenceObject10.1109/STSIVA.2019.8730287Anisotropic diffusion filteringSpeckle reductionStopping criterionUltrasound image enhancementCost effectivenessDiffusionImage enhancementOptical anisotropySpeckleUltrasonic imagingVisionAnisotropic diffusion filteringAnisotropic diffusion filtersNumber of iterationsSpeckle reductionStopping criteriaUltrasound image enhancementsUltrasound imagesUltrasound imagingImage denoisinginfo:eu-repo/semantics/restrictedAccessAtribución-NoComercial 4.0 InternacionalUniversidad Tecnológica de BolívarRepositorio UTB5720954190157210822856