Image Analysis

1. Front Matter

   Pages I-XVII

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2. Feature Extraction and Segmentation

   1. Front Matter

      Pages 1-1

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   2. Simplification of Polygonal Chains by Enforcing Few Distinctive Edge Directions

      • Melanie Pohl, Jochen Meidow, Dimitri Bulatov

      Pages 3-14

   3. Leaflet Free Edge Detection for the Automatic Analysis of Prosthetic Heart Valve Opening and Closing Motion Patterns from High Speed Video Recordings

      • Maryam Alizadeh, Melissa Cote, Alexandra Branzan Albu

      Pages 15-27

   4. Max-Margin Learning of Deep Structured Models for Semantic Segmentation

      • Måns Larsson, Jennifer Alvén, Fredrik Kahl

      Pages 28-40

   5. Robust Abdominal Organ Segmentation Using Regional Convolutional Neural Networks

      • Måns Larsson, Yuhang Zhang, Fredrik Kahl

      Pages 41-52

   6. Detecting Chest Compression Depth Using a Smartphone Camera and Motion Segmentation

      • Øyvind Meinich-Bache, Kjersti Engan, Trygve Eftestøl, Ivar Austvoll

      Pages 53-64

   7. Feature Space Clustering for Trabecular Bone Segmentation

      • Benjamin Klintström, Eva Klintström, Örjan Smedby, Rodrigo Moreno

      Pages 65-75

   8. Airway-Tree Segmentation in Subjects with Acute Respiratory Distress Syndrome

      • Kristína Lidayová, Duván Alberto Gómez Betancur, Hans Frimmel, Marcela Hernández Hoyos, Maciej Orkisz, Örjan Smedby

      Pages 76-87

   9. Context Aware Query Image Representation for Particular Object Retrieval

      • Zakaria Laskar, Juho Kannala

      Pages 88-99

   10. Granulometry-Based Trabecular Bone Segmentation

       • Manish Chowdhury, Benjamin Klintström, Eva Klintström, Örjan Smedby, Rodrigo Moreno

       Pages 100-108

   11. Automatic Segmentation of Abdominal Fat in MRI-Scans, Using Graph-Cuts and Image Derived Energies

       • Anders Nymark Christensen, Christian Thode Larsen, Camilla Maria Mandrup, Martin Bæk Petersen, Rasmus Larsen, Knut Conradsen et al.

       Pages 109-120

3. Remote Sensing

   1. Front Matter

      Pages 121-121

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   2. Two-Source Surface Reconstruction Using Polarisation

      • Gary A. Atkinson

      Pages 123-135

   3. Synthetic Aperture Radar (SAR) Monitoring of Avalanche Activity: An Automated Detection Scheme

      • H. Vickers, M. Eckerstorfer, E. Malnes, A. Doulgeris

      Pages 136-146

   4. Canonical Analysis of Sentinel-1 Radar and Sentinel-2 Optical Data

      • Allan A. Nielsen, Rasmus Larsen

      Pages 147-158

   5. A Noncentral and Non-Gaussian Probability Model for SAR Data

      • Anca Cristea, Anthony P. Doulgeris, Torbjørn Eltoft

      Pages 159-168

   6. Unsupervised Multi-manifold Classification of Hyperspectral Remote Sensing Images with Contractive Autoencoder

      • Aidin Hassanzadeh, Arto Kaarna, Tuomo Kauranne

      Pages 169-180

   7. A Clustering Approach to Heterogeneous Change Detection

      • Luigi Tommaso Luppino, Stian Normann Anfinsen, Gabriele Moser, Robert Jenssen, Filippo Maria Bianchi, Sebastiano Serpico et al.

      Pages 181-192

   8. Large-Scale Mapping of Small Roads in Lidar Images Using Deep Convolutional Neural Networks

      • Arnt-Børre Salberg, Øivind Due Trier, Michael Kampffmeyer

      Pages 193-204

The two-volume set LNCS 10269 and 10270 constitutes the refereed proceedings of the 20th Scandinavian Conference on 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 contributions are structured in topical sections on history of SCIA; motion analysis and 3D vision; pattern detection and recognition; machine learning; image processing and applications; feature extraction and segmentation; remote sensing; medical and biomedical image analysis; faces, gestures and multispectral analysis.

• image processing
• image segmentation
• computer vision
• motion analysis and 3D vision
• medical and biomedical image analysis
• gestures and multispectral analysis
• artificial intelligence
• estimation
• machine learning, and image processing and applications
• remote sensing
• signal processing

• University of Tromsø, Tromsø, Norway

  Puneet Sharma, Filippo Maria Bianchi

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