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Image Analysis and Recognition

11th International Conference, ICIAR 2014, Vilamoura, Portugal, October 22-24, 2014, Proceedings, Part I

  • Conference proceedings
  • © 2014

Overview

Editors:
  1. Aurélio Campilho

    1. Faculty of Engineering, University of Porto, Porto, Portugal

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    You can also search for this editor in PubMed   Google Scholar

  2. Mohamed Kamel

    1. Dept. of Electrical and Computer Eng., University of Waterloo, Waterloo, Canada

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8814)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Included in the following conference series:

Conference proceedings info: ICIAR 2014.

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Table of contents (55 papers)

  1. Front Matter

    Pages I-XXIII
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  2. Image Representation and Models

    1. Front Matter

      Pages 1-1
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    2. Path Descriptors for Geometric Graph Matching and Registration

      • Miguel Amável Pinheiro, Jan Kybic
      Pages 3-11

    3. A Method to Detect Repeated Unknown Patterns in an Image

      • Paulo J. S. G. Ferreira, Armando J. Pinho
      Pages 12-19

    4. Some “Weberized” \(L^2\)-Based Methods of Signal/Image Approximation

      • Ilona A. Kowalik-Urbaniak, Davide La Torre, Edward R. Vrscay, Zhou Wang
      Pages 20-29

    5. A New Compressor for Measuring Distances among Images

      • Armando J. Pinho, Diogo Pratas, Paulo J. S. G. Ferreira
      Pages 30-37

    6. Perceptual Evaluation of Demosaicing Artefacts

      • Tomasz Sergej, Radosław Mantiuk
      Pages 38-45

    7. Multiscale Shape Description with Laplacian Profile and Fourier Transform

      • Evanthia Mavridou, James L. Crowley, Augustin Lux
      Pages 46-54

    8. Structural Similarity-Based Approximation over Orthogonal Bases: Investigating the Use of Individual Component Functions \(S_k(\mathbf{x} ,\mathbf{y})\)

      • Paul Bendevis, Edward R. Vrscay
      Pages 55-64

    9. 2D Thinning Algorithms with Revised Endpixel Preservation

      • Gábor Németh, Péter Kardos, Kálmán Palágyi
      Pages 65-72

  3. Sparse Representation

    1. Front Matter

      Pages 73-73
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    2. A New Landmark-Independent Tool for Quantifying and Characterizing Morphologic Variation

      • S. M. Rolfe, L. L. Cox, L. G. Shapiro, T. C. Cox
      Pages 75-83

    3. Low Light Image Enhancement via Sparse Representations

      • Konstantina Fotiadou, Grigorios Tsagkatakis, Panagiotis Tsakalides
      Pages 84-93

    4. Incremental and Multi-feature Tensor Subspace Learning Applied for Background Modeling and Subtraction

      • Andrews Sobral, Christopher G. Baker, Thierry Bouwmans, El-hadi Zahzah
      Pages 94-103

    5. Face Image Super-Resolution Based on Topology ICA and Sparse Representation

      • Yongtao Liu, Hua Yan, Xiushan Nie, Zhen Liu
      Pages 104-111

    6. Iterative Sparse Coding for Colorization Based Compression

      • Suk-Ho Lee, Paul Oh, Moon Gi Kang
      Pages 112-120

    7. Noise Modelling in Parallel Magnetic Resonance Imaging: A Variational Approach

      • Adrián Martín, Emanuele Schiavi
      Pages 121-128

  4. Image Restoration and Enhancement

    1. Front Matter

      Pages 129-129
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    2. An Examination of Several Methods of Hyperspectral Image Denoising: Over Channels, Spectral Functions and Both Domains

      • Daniel Otero, Oleg V. Michailovich, Edward R. Vrscay
      Pages 131-140

    3. Towards a Comprehensive Evaluation of Ultrasound Speckle Reduction

      • Fernando C. Monteiro, José Rufino, Vasco Cadavez
      Pages 141-149
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Other volumes

  1. Image Analysis and Recognition

  2. Image Analysis and Recognition

Keywords

About this book

The two volumes LNCS 8814 and 8815 constitute the thoroughly refereed proceedings of the 11th International Conference on Image Analysis and Recognition, ICIAR 2014, held in Vilamoura, Portugal, in October 2014. The 107 revised full papers presented were carefully reviewed and selected from 177 submissions. The papers are organized in the following topical sections: image representation and models; sparse representation; image restoration and enhancement; feature detection and image segmentation; classification and learning methods; document image analysis; image and video retrieval; remote sensing; applications; action, gestures and audio-visual recognition; biometrics; medical image processing and analysis; medical image segmentation; computer-aided diagnosis; retinal image analysis; 3D imaging; motion analysis and tracking; and robot vision.

Editors and Affiliations

  • Faculty of Engineering, University of Porto, Porto, Portugal

    Aurélio Campilho

  • Dept. of Electrical and Computer Eng., University of Waterloo, Waterloo, Canada

    Mohamed Kamel

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