Buch, Englisch, 460 Seiten, Format (B × H): 174 mm x 246 mm, Gewicht: 816 g
VipIMAGE 2011
Buch, Englisch, 460 Seiten, Format (B × H): 174 mm x 246 mm, Gewicht: 816 g
ISBN: 978-1-138-11254-4
Verlag: CRC Press
This book contains invited lecturers and full papers presented at VIPIMAGE 2011 - III ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing (Olhão, Algarve, Portugal, 12-14 October 2011). International contributions from 16 countries provide a comprehensive coverage of the current state-of-the-art in: Image Processing and Analysis; Tracking and Analyze Objects in Images; Segmentation of Objects in Images; 3D Vision; Signal Processing; Data Interpolation, Registration, Acquisition and Compression; Objects Simulation; Medical Imaging; Virtual Reality; Software Development for Image Processing and Analysis; Computer Aided Diagnosis, Surgery, Therapy and Treatment; Computational Bioimaging and Visualization; Telemedicine Systems and their Applications.
Related techniques also covered in this book include the level set method, finite element method, modal analyses, stochastic methods, principal and independent components analyses and distribution models. Computational Vision and Medical Image Processing - VIPIMAGE 2011 will be useful to academics, researchers and professionals in Computational Vision (Image Processing and Analysis), Computer Sciences, Computational Mechanics and Medicine.
Zielgruppe
Postgraduate and Professional
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik
- Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Biotechnologie Medizinische Biotechnologie
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
Weitere Infos & Material
Preface; Acknowledgements; Invited lectures; Thematic sessions; Scientific committee; Invited lecturers:Towards human-sequence evaluation, C. Fernandez, J. Gonzalez & X. Roca; Finite-context models for image compression, A.J. Pinho; Learning classifier families for object detection and parameter estimation, S. Sclaroff, A. Thangali, Q. Yuan & V. Ablavsky; Contributed papers
