Editors:
- Reports on cutting-edge techniques for image analysis and computational vision
- Highlights biological and medical applications
- Presents multidisciplinary applied research
Part of the book series: Lecture Notes in Computational Vision and Biomechanics (LNCVB, volume 34)
Conference series link(s): VipIMAGE: ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing
Conference proceedings info: VipIMAGE 2019.
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Table of contents (71 papers)
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Front Matter
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Signal and Image Processing
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Front Matter
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Feature Selection
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Front Matter
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About this book
This book gathers full papers presented at the VipIMAGE 2019—VII ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing—held on October 16-18, 2019, in Porto, Portugal. It discusses cutting-edge methods, findings, and applications related to 3D vision, bio- and medical imaging, computer-aided diagnosis, image enhancement, image processing and analysis, virtual reality, and also describes in detail advanced image analysis techniques, such as image segmentation and feature selection, as well as statistical and geometrical modeling. The book provides both researchers and professionals with extensive and timely insights into advanced imaging techniques for various application purposes.
Editors and Affiliations
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Faculdade de Engenharia, Universidade do Porto, Porto, Portugal
João Manuel R. S. Tavares, Renato Manuel Natal Jorge
Bibliographic Information
Book Title: VipIMAGE 2019
Book Subtitle: Proceedings of the VII ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing, October 16–18, 2019, Porto, Portugal
Editors: João Manuel R. S. Tavares, Renato Manuel Natal Jorge
Series Title: Lecture Notes in Computational Vision and Biomechanics
DOI: https://doi.org/10.1007/978-3-030-32040-9
Publisher: Springer Cham
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-32039-3Published: 28 September 2019
eBook ISBN: 978-3-030-32040-9Published: 27 September 2019
Series ISSN: 2212-9391
Series E-ISSN: 2212-9413
Edition Number: 1
Number of Pages: XXII, 706
Number of Illustrations: 100 b/w illustrations, 290 illustrations in colour
Topics: Biomedical Engineering/Biotechnology, Biomedical Engineering and Bioengineering, Image Processing and Computer Vision, Signal, Image and Speech Processing