Advanced Concepts for Intelligent Vision Systems

1. Front Matter

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2. Image Processing and Analysis

   1. A Criterion of Noisy Images Quality

      • Sergey V. Sai, Ilya S. Sai, Nikolay Yu. Sorokin

      Pages 1-9

   2. Subjective Evaluation of Image Quality Measures for White Noise Distorted Images

      • Atif Bin Mansoor, Adeel Anwar

      Pages 10-17

   3. Real-Time Retrieval of Near-Duplicate Fragments in Images and Video-Clips

      • Andrzej Śluzek, Mariusz Paradowski

      Pages 18-29

   4. Toward the Detection of Urban Infrastructure’s Edge Shadows

      • Cesar Isaza, Joaquin Salas, Bogdan Raducanu

      Pages 30-37

   5. Neural Image Thresholding Using SIFT: A Comparative Study

      • Ahmed A. Othman, Hamid R. Tizhoosh

      Pages 38-49

   6. Statistical Rail Surface Classification Based on 2D and 21/2D Image Analysis

      • Reinhold Huber-Mörk, Michael Nölle, Andreas Oberhauser, Edgar Fischmeister

      Pages 50-61

   7. Salient-SIFT for Image Retrieval

      • Zhen Liang, Hong Fu, Zheru Chi, Dagan Feng

      Pages 62-71

   8. Combined Retrieval Strategies for Images with and without Distinct Objects

      • Hong Fu, Zheru Chi, Dagan Feng

      Pages 72-79

   9. Spectral Matching Functions and Ellipse Mappings in Search for More Uniform Chromaticity and Color Spaces

      • Maryam Pahjehfouladgaran, Arto Kaarna

      Pages 80-92

   10. Anatomy-Based Registration of Isometrically Transformed Surfaces Using Geodesic Area Functionals

       • Boaz Vigdor, Joseph M. Francos

       Pages 93-104

   11. Trabecular Bone Anisotropy Characterization Using 1D Local Binary Patterns

       • Lotfi Houam, Adel Hafiane, Rachid Jennane, Abdelhani Boukrouche, Eric Lespessailles

       Pages 105-113

3. Segmentation and Edge Detection

   1. Watershed Based Document Image Analysis

      • Pasha Shadkami, Nicolas Bonnier

      Pages 114-124

   2. A Fast External Force Field for Parametric Active Contour Segmentation

      • Jonas De Vylder, Koen Douterloigne, Wilfried Philips

      Pages 125-134

   3. The Extraction of Venation from Leaf Images by Evolved Vein Classifiers and Ant Colony Algorithms

      • James S. Cope, Paolo Remagnino, Sarah Barman, Paul Wilkin

      Pages 135-144

   4. Segmentation of Inter-neurons in Three Dimensional Brain Imagery

      • Gervase Tuxworth, Adrian Meedeniya, Michael Blumenstein

      Pages 145-152

   5. Noise-Robust Method for Image Segmentation

      • Ivana Despotović, Vedran Jelača, Ewout Vansteenkiste, Wilfried Philips

      Pages 153-162

   6. High Definition Feature Map for GVF Snake by Using Harris Function

      • Andrea Kovacs, Tamas Sziranyi

      Pages 163-172

   7. Adaptive Constructive Polynomial Fitting

      • Francis Deboeverie, Kristof Teelen, Peter Veelaert, Wilfried Philips

      Pages 173-184

   8. Long-Range Inhibition in Reaction-Diffusion Algorithms Designed for Edge Detection and Stereo Disparity Detection

      • Atsushi Nomura, Makoto Ichikawa, Koichi Okada, Hidetoshi Miike

      Pages 185-196

This volume collects the papers accepted for presentation at the 12th Int- national Conference on “Advanced Concepts for Intelligent Vision Systems” (ACIVS 2010). Following the ?rst meeting in Baden-Baden (Germany) in 1999, whichwaspartofalargemulticonference,theACIVSconferencethendeveloped into an independent scienti?c event and has ever since maintained the tradition of being a single track conference. ACIVS 2010 attracted computer scientists from 29 di?erent countries, mostly from Europe, Australia, and the USA, but also from Asia. Although ACIVS is a conference on all areas of image and video processing, submissions tend to gather within certain major ?elds of interest. This year 3D and depth processing and computer vision and surveillance were popular topics. Noteworthy are the growing number of papers related to theoretical devel- ments. We would like to thank the invited speakers Mubarak Shah (University of Central Florida), Richard Kleihorst (VITO, Belgium), Richard Hartley (A- tralian National University), and David Suter (Adelaide University) for their valuable contributions.

• Augmented Reality
• CUDA
• GPU
• Segment
• computer vision
• distributed camera systems
• image analysis
• image processing
• image segmentation
• imaging systems
• learning
• machine vision
• modeling
• multi-camera systems
• optimization
• algorithm analysis and problem complexity

• DGA/D4S/MRIS, CEP/GIP, Arcueil, France

  Jacques Blanc-Talon

• Canon Information Systems Research Australia, Sydney, Australia

  Don Bone

• Telecommunications and Information processing (TELIN), Ghent University, Ghent, Belgium

  Wilfried Philips

• CSIRO ICT Centre, ICT Centre, Epping, Sydney, Australia

  Dan Popescu

• Physics, University of Antwerp, Wilrijk, Belgium

  Paul Scheunders

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