Image Analysis and Recognition

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

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.

• adaptive classification
• automated image processing
• biomedical imaging
• classification
• clustering
• deep learning
• human-computer-interaction
• multi-biometrics
• object recognition
• optimization
• pattern recognition
• prototype learning
• robot vision
• stereo vision
• supervised learning
• support vector machine
• unconstrained optimization

• 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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