Image Analysis and Recognition

1. Front Matter

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2. Invited Session

   1. Self-Organizing Trees and Forests: A Powerful Tool in Pattern Clustering and Recognition

      • Ling Guan

      Pages 1-14

   2. On Optimizing Dissimilarity-Based Classification Using Prototype Reduction Schemes

      • Sang-Woon Kim, B. John Oommen

      Pages 15-28

3. Image Restoration and Enhancement

   1. General Adaptive Neighborhood Image Restoration, Enhancement and Segmentation

      • Johan Debayle, Yann Gavet, Jean-Charles Pinoli

      Pages 29-40

   2. Frozen-State Hierarchical Annealing

      • Wesley R. Campaigne, Paul Fieguth, Simon K. Alexander

      Pages 41-52

   3. Fast and Robust Filtering-Based Image Magnification

      • Wenze Shao, Zhihui Wei

      Pages 53-62

   4. An Efficient Post-processing Using DCT Domain Projections Onto Convex Sets

      • Changhoon Yim

      Pages 63-73

   5. Rank-Ordered Differences Statistic Based Switching Vector Filter

      • Guillermo Peris-Fajarnés, Bernardino Roig, Anna Vidal

      Pages 74-81

   6. Mathematical Analysis of “Phase Ramping” for Super-Resolution Magnetic Resonance Imaging

      • Gregory S. Mayer, Edward R. Vrscay

      Pages 82-93

   7. Blind Blur Estimation Using Low Rank Approximation of Cepstrum

      • Adeel A. Bhutta, Hassan Foroosh

      Pages 94-103

   8. An Image Interpolation Scheme for Repetitive Structures

      • Hiêp Luong, Alessandro Ledda, Wilfried Philips

      Pages 104-115

   9. A Discontinuous Finite Element Method for Image Denoising

      • Zhaozhong Wang, Feihu Qi, Fugen Zhou

      Pages 116-125

   10. An Edge-Preserving Multigrid-Like Technique for Image Denoising

       • Carolina Toledo Ferraz, Luis Gustavo Nonato, José Alberto Cuminato

       Pages 126-137

   11. Fuzzy Bilateral Filtering for Color Images

       • Samuel Morillas, Valentín Gregori, Almanzor Sapena

       Pages 138-145

   12. MPEG Postprocessing System Using Edge Signal Variable Filter

       • Chan-Ho Han, Suk-Hwan Lee, Seong-Geun Kwon, Ki-Ryong Kwon, Dong Kyue Kim

       Pages 146-155

   13. Computational Framework for Family of Order Statistic Filters for Tensor Valued Data

       • Bogusław Cyganek

       Pages 156-162

   14. Gaussian Noise Removal by Color Morphology and Polar Color Models

       • Francisco Ortiz

       Pages 163-172

4. Image Segmentation

   1. A Shape-Based Approach to Robust Image Segmentation

      • Samuel Dambreville, Yogesh Rathi, Allen Tannenbaum

      Pages 173-183

   2. Novel Statistical Approaches to the Quantitative Combination of Multiple Edge Detectors

      • Stamatia Giannarou, Tania Stathaki

      Pages 184-195

   3. Bio-inspired Motion-Based Object Segmentation

      • Sonia Mota, Eduardo Ros, Javier Díaz, Rodrigo Agis, Francisco de Toro

      Pages 196-205

ICIAR 2006, the International Conference on Image Analysis and Recognition, was the third ICIAR conference, and was held in P´ ovoa de Varzim, Portugal. ICIARisorganizedannually,andalternatesbetweenEuropeandNorthAmerica. ICIAR 2004 was held in Porto, Portugal and ICIAR 2005 in Toronto, Canada. The idea of o?ering these conferences came as a result of discussion between researchers in Portugal and Canada to encourage collaboration and exchange, mainlybetweenthesetwocountries,butalsowiththeopenparticipationofother countries, addressing recent advances in theory, methodology and applications. The response to the call for papers for ICIAR 2006 was higher than the two previous editions. From 389 full papers submitted, 163 were ?nally accepted (71 oral presentations, and 92 posters). The review process was carried out by the Program Committee members and other reviewers; all are experts in various image analysis and recognition areas. Each paper was reviewed by at least two reviewers, and also checked by the conference Co-chairs. The high quality of the papers in these proceedings is attributed ?rst to the authors, and second to the quality of the reviews provided by the experts. We would like to thank the authors for responding to our call, and we wholeheartedly thank the reviewers for their excellent work and for their timely response. It is this collective e?ort that resulted in the strong conference program and high-quality proceedings in your hands.

• Augmented Reality
• biometrics
• computer vision
• image analysis
• image processing
• pattern recognition
• sensing
• algorithm analysis and problem complexity

• Departamento de Engenharia Electrotécnica e de Computadores da, Faculdade de Engenharia da, Universidade do Porto, Porto, Portugal

  Aurélio Campilho

• Electrical and Computer Engineering Department, University of Waterloo,  

  Mohamed S. Kamel

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