Table Of ContentPuneet Sharma
Filippo Maria Bianchi (Eds.)
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Image Analysis
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20th Scandinavian Conference, SCIA 2017
Tromsø, Norway, June 12–14, 2017
Proceedings, Part II
123
Lecture Notes in Computer Science 10270
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Puneet Sharma Filippo Maria Bianchi (Eds.)
(cid:129)
Image Analysis
20th Scandinavian Conference, SCIA 2017
ø –
Troms , Norway, June 12 14, 2017
Proceedings, Part II
123
Editors
PuneetSharma Filippo Maria Bianchi
University of Tromsø University of Tromsø
Tromsø Tromsø
Norway Norway
ISSN 0302-9743 ISSN 1611-3349 (electronic)
Lecture Notesin Computer Science
ISBN 978-3-319-59128-5 ISBN978-3-319-59129-2 (eBook)
DOI 10.1007/978-3-319-59129-2
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Preface
Thisbookconstitutestherefereedproceedingsofthe20thScandinavianConferenceon
Image Analysis, SCIA 2017, held in Tromsø, Norway, in June 2017.
The 87 revised papers presented were carefully reviewed and selected from 133
submissions. The 87 accepted articles are organized in two volumes, i.e., volumes 1
and 2. Volume 1 comprises topical sections on the history of SCIA, motion analysis
and 3D vision, pattern detection and recognition, machine learning, and image pro-
cessingandapplications.Volume2isstructuredintopicalsectionsonremotesensing,
medicalandbiomedicalimageanalysis,featureextractionandsegmentation,andface,
gesture, and multispectral analysis.
June 2017 Puneet Sharma
Filippo Maria Bianchi
Organizers
Sponsors
Organization
General Chair
Robert Jenssen University of Tromsø - The Arctic University
of Norway
Program Chairs
Puneet Sharma University of Tromsø - The Arctic University
of Norway
Filippo Maria Bianchi University of Tromsø - The Arctic University
of Norway
Program Co-chairs
Arnt Børre Salberg Norwegian Computing Center, Norway
Jon Yngve Hardeberg Norwegian University of Science and Technology,
Norway
Trym Haavardsholm Norwegian Defence Research Establishment, Norway
Program Committee
Adrien Bartoli ISIT – CENTI, France
Anders Heyden Lund University, Sweden
Anne H. Schistad Solberg University of Oslo, Norway
Arnt-Børre Norsk Regnesentral, Norway
Atsuto Maki Kungliga Tekniska Högskolan, Sweden
Cristina Soguero Ruiz Rey Juan Carlos University, Spain
Daniele Nardi Sapienza University, Italy
Domenico Daniele Bloisi Sapienza University, Italy
Enrico Maiorino Sapienza University, Italy
Erkki Oja Aalto University, Finland
Fredrik Kahl Lund University, Sweden
Gustau Camps-Valls University of Valencia, Spain
Heikki Kälviäinen Lappeenranta University of Technology, Finland
Helene Schulerud Sintef, Norway
Ingela Nyström Uppsala University, Sweden
Janne Heikkilä University of Oulu, Finland
Jens Thielemann SINTEF, Norway
Joni Kämäräinen Tampere University of Technology, Finland
Karl Øyvind Mikalsen University of Tromsø, Norway
Kjersti Engan University of Stavanger, Norway
VIII Organization
Lasse Riis Østergaard Aalborg University, Denmark
Lorenzo Livi University of Exeter, UK
Mads Nielsen University of Copenhagen, Denmark
Marco Loog Delft University of Technology, The Netherlands
Michael Felsberg Linkoping University, Sweden
Michael Kampffmeyer University of Tromsø, Norway
Norbert Krüger University of Southern Denmark, Denmark
Rasmus Paulsen Technical University of Denmark
Sigurd Løkse University of Tromsø, Norway
Simone Scardapane Sapienza University, Italy
Thomas Moeslund Aalborg University, Denmark
Contents – Part II
Feature Extraction and Segmentation
Simplification of Polygonal Chains by Enforcing Few Distinctive
Edge Directions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3
Melanie Pohl, Jochen Meidow, and Dimitri Bulatov
Leaflet Free Edge Detection for the Automatic Analysis of Prosthetic
Heart Valve Opening and Closing Motion Patterns from High Speed
Video Recordings. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15
Maryam Alizadeh, Melissa Cote, and Alexandra Branzan Albu
Max-Margin Learning of Deep Structured Models
for Semantic Segmentation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28
Måns Larsson, Jennifer Alvén, and Fredrik Kahl
Robust Abdominal Organ Segmentation Using Regional
Convolutional Neural Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41
Måns Larsson, Yuhang Zhang, and Fredrik Kahl
Detecting Chest Compression Depth Using a Smartphone Camera
and Motion Segmentation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53
ØyvindMeinich-Bache,KjerstiEngan,TrygveEftestøl,andIvarAustvoll
Feature Space Clustering for Trabecular Bone Segmentation. . . . . . . . . . . . . 65
Benjamin Klintström, Eva Klintström, Örjan Smedby,
and Rodrigo Moreno
Airway-Tree Segmentation in Subjects with Acute Respiratory
Distress Syndrome . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76
Kristína Lidayová, Duván Alberto Gómez Betancur, Hans Frimmel,
Marcela Hernández Hoyos, Maciej Orkisz, and Örjan Smedby
Context Aware Query Image Representation for Particular Object Retrieval . . . 88
Zakaria Laskar and Juho Kannala
Granulometry-Based Trabecular Bone Segmentation . . . . . . . . . . . . . . . . . . 100
Manish Chowdhury, Benjamin Klintström, Eva Klintström,
Örjan Smedby, and Rodrigo Moreno
X Contents – Part II
Automatic Segmentation of Abdominal Fat in MRI-Scans,
Using Graph-Cuts and Image Derived Energies. . . . . . . . . . . . . . . . . . . . . . 109
Anders Nymark Christensen, Christian Thode Larsen,
Camilla Maria Mandrup, Martin Bæk Petersen, Rasmus Larsen,
Knut Conradsen, and Vedrana Andersen Dahl
Remote Sensing
Two-Source Surface Reconstruction Using Polarisation . . . . . . . . . . . . . . . . 123
Gary A. Atkinson
Synthetic Aperture Radar (SAR) Monitoring of Avalanche Activity:
An Automated Detection Scheme . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 136
H. Vickers, M. Eckerstorfer, E. Malnes, and A. Doulgeris
Canonical Analysis of Sentinel-1 Radar and Sentinel-2 Optical Data. . . . . . . 147
Allan A. Nielsen and Rasmus Larsen
A Noncentral and Non-Gaussian Probability Model for SAR Data . . . . . . . . 159
Anca Cristea, Anthony P. Doulgeris, and Torbjørn Eltoft
Unsupervised Multi-manifold Classification of Hyperspectral Remote
Sensing Images with Contractive Autoencoder . . . . . . . . . . . . . . . . . . . . . . 169
Aidin Hassanzadeh, Arto Kaarna, and Tuomo Kauranne
A Clustering Approach to Heterogeneous Change Detection. . . . . . . . . . . . . 181
Luigi Tommaso Luppino, Stian Normann Anfinsen, Gabriele Moser,
Robert Jenssen, Filippo Maria Bianchi, Sebastiano Serpico,
and Gregoire Mercier
Large-Scale Mapping of Small Roads in Lidar Images
Using Deep Convolutional Neural Networks. . . . . . . . . . . . . . . . . . . . . . . . 193
Arnt-Børre Salberg, Øivind Due Trier, and Michael Kampffmeyer
Physics-Aware Gaussian Processes for Earth Observation. . . . . . . . . . . . . . . 205
Gustau Camps-Valls, Daniel H. Svendsen, Luca Martino,
Jordi Muñoz-Marí, Valero Laparra, Manuel Campos-Taberner,
and David Luengo
Medical and Biomedical Image Analysis
Automatic Segmentation of Bone Tissue from Computed Tomography
Using a Volumetric Local Binary Patterns Based Method. . . . . . . . . . . . . . . 221
Jukka Kaipala, Miguel Bordallo López, Simo Saarakkala,
and Jérôme Thevenot
