Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Daniela Casaburi"'
Publikováno v:
International Journal of Biomedical Imaging, Vol 2011 (2011)
In this paper, we consider nonlinear partial differential equations (PDEs) of diffusion/advection type underlying most problems in image analysis. As case study, we address the segmentation of medical structures. We perform a comparative study of num
Externí odkaz:
https://doaj.org/article/cf202b9240b24b9eb483e35da5f76007
Autor:
Luisa D'Amore, Almerico Murli, Gaetano D'Avino, Daniela Casaburi, Pier Luca Maffettone, L. Carracciuolo
Publikováno v:
Journal of Non-Newtonian Fluid Mechanics. 166:1382-1395
The development of a parallel software for simulating large-scale time-dependent 3D problems involving the flow of multimode viscoelastic fluids is presented. The computing environment relies on PETSc [27] (Portable, Extensible Toolkit for Scientific
Publikováno v:
Integrated Computer-Aided Engineering. 18:365-378
Real time image sequences analysis is a challenge. Using high performance computing technologies, a parallel algorithm for performing data sequence analysis is proposed. We call it pipelined algorithm PA. The idea underlying the design of PA comes fr
Publikováno v:
International Journal of Biomedical Imaging, Vol 2011 (2011)
International Journal of Biomedical Imaging
International Journal of Biomedical Imaging
In this paper, we consider nonlinear partial differential equations (PDEs) of diffusion/advection type underlying most problems in image analysis. As case study, we address the segmentation of medical structures. We perform a comparative study of num
We describe a fast, reliable and automatic algorithm for image sequence inpainting that combines spatio-temporal interpolation with fine texture preservation inside missing areas. The algorithm provides an estimate of the inpainting error by using an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9db39cb4afe2796298c0ef4bfb07c22e
http://hdl.handle.net/11367/1709
http://hdl.handle.net/11367/1709