Image Analysis: 20th Scandinavian Conference, SCIA 2017, Tromsø, Norway, June 12–14, 2017, Proceedings, Part II PDF
Preview Image Analysis: 20th Scandinavian Conference, SCIA 2017, Tromsø, Norway, June 12–14, 2017, Proceedings, Part II
Puneet Sharma Filippo Maria Bianchi (Eds.) 0 7 2 0 1 S Image Analysis C N L 20th Scandinavian Conference, SCIA 2017 Tromsø, Norway, June 12–14, 2017 Proceedings, Part II 123 Lecture Notes in Computer Science 10270 Commenced Publication in 1973 Founding and Former Series Editors: Gerhard Goos, Juris Hartmanis, and Jan van Leeuwen Editorial Board David Hutchison Lancaster University, Lancaster, UK Takeo Kanade Carnegie Mellon University, Pittsburgh, PA, USA Josef Kittler University of Surrey, Guildford, UK Jon M. Kleinberg Cornell University, Ithaca, NY, USA Friedemann Mattern ETH Zurich, Zurich, Switzerland John C. Mitchell Stanford University, Stanford, CA, USA Moni Naor Weizmann Institute of Science, Rehovot, Israel C. Pandu Rangan Indian Institute of Technology, Madras, India Bernhard Steffen TU Dortmund University, Dortmund, Germany Demetri Terzopoulos University of California, Los Angeles, CA, USA Doug Tygar University of California, Berkeley, CA, USA Gerhard Weikum Max Planck Institute for Informatics, Saarbrücken, Germany More information about this series at http://www.springer.com/series/7412 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 LibraryofCongressControlNumber:2017940836 LNCSSublibrary:SL6–ImageProcessing,ComputerVision,PatternRecognition,andGraphics ©SpringerInternationalPublishingAG2017 Thisworkissubjecttocopyright.AllrightsarereservedbythePublisher,whetherthewholeorpartofthe material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storageandretrieval,electronicadaptation,computersoftware,orbysimilarordissimilarmethodologynow knownorhereafterdeveloped. Theuseofgeneraldescriptivenames,registerednames,trademarks,servicemarks,etc.inthispublication doesnotimply,evenintheabsenceofaspecificstatement,thatsuchnamesareexemptfromtherelevant protectivelawsandregulationsandthereforefreeforgeneraluse. Thepublisher,theauthorsandtheeditorsaresafetoassumethattheadviceandinformationinthisbookare believedtobetrueandaccurateatthedateofpublication.Neitherthepublishernortheauthorsortheeditors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissionsthatmayhavebeenmade.Thepublisherremainsneutralwithregardtojurisdictionalclaimsin publishedmapsandinstitutionalaffiliations. Printedonacid-freepaper ThisSpringerimprintispublishedbySpringerNature TheregisteredcompanyisSpringerInternationalPublishingAG Theregisteredcompanyaddressis:Gewerbestrasse11,6330Cham,Switzerland 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
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