Duric N.Heyde B.2020-03-262020-03-262017Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 10139978151060723116057422https://hdl.handle.net/20.500.12585/8952This paper describes a region growing segmentation algorithm for medical ultrasound images. The algorithm starts with anisotropic diffusion filtering to reduce speckle noise without blurring the edges. Then, region growing is performed starting from a seed point, using a merging criterion that compares intensity gradients to the noise level inside the region. Finally, the boundaries are smoothed using morphological closing. The algorithm was evaluated with two simulated images and eleven phantom images and converged in 10 of them with accurate region delimitation. Preliminary results show that the proposed method can be used for ultrasound image segmentation and does not require previous knowledge of the anatomy of the structures. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.Recurso electrónicoapplication/pdfenghttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/conferenceObject10.1117/12.2254518Anisotropic diffusion filteringMedical ultrasoundRegion growing segmentationAnisotropyImaging systemsMedical imagingOptical anisotropyTomographyUltrasonic imagingAnisotropic diffusion filteringIntensity gradientsMedical ultrasoundMedical ultrasound imagesMorphological closingRegion growingSegmentation algorithmsUltrasound image segmentationImage segmentationinfo:eu-repo/semantics/restrictedAccessAtribución-NoComercial 4.0 InternacionalUniversidad Tecnológica de BolívarRepositorio UTB571901659395719068845957210822856