Advances in Visualization and Optimization Techniques for Multidisciplinary Research
Trends in Modelling and Simulations for Engineering Applications
Buch in deiner Nähe kaufen
Beschreibung
This volume presents several multidisciplinary approaches to the visual representation of data acquired from experiments. As an expansion of these approaches, it is also possible to include data examination generated by mathematical-physical modeling. Imaging Systems encompass any subject related to digital images, from fundamental requirements for a correct image acquisition to computational algorithms that make it possible to obtain relevant information for image analysis.
In this context, the book presents selected contributions of a special session at the Conference on Advanced Computational Engineering and Experimenting (ACE-X) 2016.
This volume presents several multidisciplinary approaches to the visual representation of data acquired from experiments. As an expansion of these approaches, it is also possible to include data examination generated by mathematical-physical modeling. Imaging Systems encompass any subject related to digital images, from fundamental requirements for a correct image acquisition to computational algorithms that make it possible to obtain relevant information for image analysis.
In this context, the book presents selected contributions of a special session at the Conference on Advanced Computational Engineering and Experimenting (ACE-X) 2016.
Presents several multidisciplinary approaches to the visual representation of data acquired from experiments Includes data examination generated by mathematical-physical modeling Presents selected contributions of a special session at the Conference on Advanced Computational Engineering and Experimenting (ACE-X) 2016
Autor*in
Dean Vucinic
Themen in »Advances in Visualization and Optimization Techniques for Multidisciplinary Research«
visualization of phenomena imaging systems visual representation of data Geometry reconstruction Real-Time Visualization Digital Immage Correlation 3D Segmentation ACE-X 2016