Selection of a Stopping Criterion for Anisotropic Diffusion Filtering in Ultrasound Images

Ultrasound 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.

• Fecha de publicación: 2019
• Institución: Universidad Tecnológica de Bolívar
• Repositorio: Repositorio Institucional UTB
• Idioma: eng
• OAI Identifier: oai:repositorio.utb.edu.co:20.500.12585/9148
• Acceso en línea: https://hdl.handle.net/20.500.12585/9148
• Palabra clave: Anisotropic diffusion filtering; Speckle reduction; Stopping criterion; Ultrasound image enhancement; Cost effectiveness; Diffusion; Image enhancement; Optical anisotropy; Speckle; Ultrasonic imaging; Vision; Anisotropic diffusion filtering; Anisotropic diffusion filters; Number of iterations; Speckle reduction; Stopping criteria; Ultrasound image enhancements; Ultrasound images; Ultrasound imaging; Image denoising
• Rights: restrictedAccess
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/