Overview
- 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
Part of the book series: Lecture Notes in Mechanical Engineering (LNME)
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Table of contents (12 chapters)
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Front Matter
Keywords
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: Advances in Visualization and Optimization Techniques for Multidisciplinary Research
Book Subtitle: Trends in Modelling and Simulations for Engineering Applications
Editors: Dean Vucinic, Fabiana Rodrigues Leta, Sheeja Janardhanan
Series Title: Lecture Notes in Mechanical Engineering
DOI: https://doi.org/10.1007/978-981-13-9806-3
Publisher: Springer Singapore
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-981-13-9805-6Published: 28 September 2019
Softcover ISBN: 978-981-13-9808-7Published: 28 September 2020
eBook ISBN: 978-981-13-9806-3Published: 27 September 2019
Series ISSN: 2195-4356
Series E-ISSN: 2195-4364
Edition Number: 1
Number of Pages: XIV, 356
Number of Illustrations: 61 b/w illustrations, 165 illustrations in colour
Topics: Signal, Image and Speech Processing, Image Processing and Computer Vision, Numerical and Computational Physics, Simulation, Characterization and Evaluation of Materials