E-Book, Englisch, 468 Seiten
Toennies Guide to Medical Image Analysis
1. Auflage 2012
ISBN: 978-1-4471-2751-2
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
Methods and Algorithms
E-Book, Englisch, 468 Seiten
Reihe: Advances in Computer Vision and Pattern Recognition
ISBN: 978-1-4471-2751-2
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
This book presents a comprehensive overview of medical image analysis. Practical in approach, the text is uniquely structured by potential applications. Features: presents learning objectives, exercises and concluding remarks in each chapter, in addition to a glossary of abbreviations; describes a range of common imaging techniques, reconstruction techniques and image artefacts; discusses the archival and transfer of images, including the HL7 and DICOM standards; presents a selection of techniques for the enhancement of contrast and edges, for noise reduction and for edge-preserving smoothing; examines various feature detection and segmentation techniques, together with methods for computing a registration or normalisation transformation; explores object detection, as well as classification based on segment attributes such as shape and appearance; reviews the validation of an analysis method; includes appendices on Markov random field optimization, variational calculus and principal component analysis.
Zielgruppe
Graduate
Autoren/Hrsg.
Weitere Infos & Material
The Analysis of Medical Images.- Digital Image Acquisition.- Image Storage and Transfer.- Image Enhancement.- Feature Detection.- Segmentation: Principles and Basic Techniques.- Segmentation in Feature Space.- Segmentation as a Graph Problem.- Active Contours and Active Surfaces.- Registration and Normalization.- Detection and Segmentation by Shape and Appearance.- Classification and Clustering.- Validation.- Optimisation of Markov Random Fields.- Variational Calculus.- Principal Component Analysis.- References.
