VipIMAGE 2017 : proceedings of the VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing Porto, Portugal, October 18-20, 2017 / João Manuel R. S. Tavares, R.M. Natal Jorge, editors.
2018
RC78.7.D53 V57 2017eb
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Title
VipIMAGE 2017 : proceedings of the VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing Porto, Portugal, October 18-20, 2017 / João Manuel R. S. Tavares, R.M. Natal Jorge, editors.
Meeting Name
ISBN
9783319681955 (electronic book)
3319681958 (electronic book)
9783319681948
3319681958 (electronic book)
9783319681948
Published
Cham, Switzerland : Springer, [2018].
Copyright
©2018
Language
English
Description
1 online resource.
Item Number
10.1007/978-3-319-68195-5 doi
Call Number
RC78.7.D53 V57 2017eb
Dewey Decimal Classification
616.07/54
Summary
This book gathers papers presented at the VipIMAGE 2017-VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing. It highlights invited lecturers and full papers presented at the conference, which was held in Porto, Portugal, on October 18?20, 2017. These international contributions provide comprehensive coverage on the state-of-the-art in the following fields: 3D Vision, Computational Bio-Imaging and Visualization, Computational Vision, Computer Aided Diagnosis, Surgery, Therapy and Treatment, Data Interpolation, Registration, Acquisition and Compression, Industrial Inspection, Image Enhancement, Image Processing and Analysis, Image Segmentation, Medical Imaging, Medical Rehabilitation, Physics of Medical Imaging, Shape Reconstruction, Signal Processing, Simulation and Modelling, Software Development for Image Processing and Analysis, Telemedicine Systems and their Applications, Tracking and Analysis of Movement, and Deformation and Virtual Reality. In addition, it explores a broad range of related techniques, methods and applications, including: trainable filters, bilateral filtering, statistical, geometrical and physical modelling, fuzzy morphology, region growing, grabcut, variational methods, snakes, the level set method, finite element method, wavelet transform, multi-objective optimization, scale invariant feature transform, Laws? texture-energy measures, expectation maximization, the Markov random fields bootstrap, feature extraction and classification, support vector machines, random forests, decision trees, deep learning, and stereo vision. Given its breadth of coverage, the book offers a valuable resource for academics, researchers and professionals in Biomechanics, Biomedical Engineering, Computational Vision (image processing and analysis), Computer Sciences, Computational Mechanics, Signal Processing, Medicine and Rehabilitation.
Note
Includes index.
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Access limited to authorized users.
Digital File Characteristics
text file PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed October 24, 2017).
Series
Lecture notes in computational vision and biomechanics ; v. 27.
Available in Other Form
Print version: 9783319681948
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