Advances in Visualization and Optimization Techniques for Multidisciplinary Research [electronic resource] : Trends in Modelling and Simulations for Engineering Applications / edited by Dean Vucinic, Fabiana Rodrigues Leta, Sheeja Janardhanan.
Contributor(s): Vucinic, Dean [editor.]
| Rodrigues Leta, Fabiana [editor.] | Janardhanan, Sheeja [editor.] | SpringerLink (Online service).
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BookSeries: Lecture Notes in Mechanical Engineering: Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2020Edition: 1st ed. 2020.Description: XIV, 356 p. 226 illus., 165 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9789811398063.Subject(s): Signal processing | Computer vision | Mathematical physics | Materials—Analysis | Signal, Speech and Image Processing | Computer Vision | Theoretical, Mathematical and Computational Physics | Characterization and Analytical TechniqueAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 621.382 Online resources: Click here to access online
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Springer Nature eBookSummary: 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. .
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