Image Analysis and Recognition

1. Object Recognition

   1. Contour-Based Object Extraction and Clutter Removal for Semantic Vision

      • Mário Antunes, Luís Seabra Lopes

      Pages 170-180

   2. Spectral Geometric Descriptor for Deformable 3D Shape Matching and Retrieval

      • Anis Kacem, Waleed Mohamed, A. Ben Hamza

      Pages 181-188

   3. A Novel Method for Barcode Localization in Image Domain

      • Péter Bodnár, László G. Nyúl

      Pages 189-196

   4. Evaluation of Features for Leaf Discrimination

      • Pedro F. B. Silva, André R. S. Marçal, Rubim M. Almeida da Silva

      Pages 197-204

   5. Combining Leaf Salient Points and Leaf Contour Descriptions for Plant Species Recognition

      • Sofiene Mouine, Itheri Yahiaoui, Anne Verroust-Blondet

      Pages 205-214

   6. Combined Categorization and Localization of Logistic Goods Using Superquadrics

      • Hendrik Thamer, Faisal Taj, Daniel Weimer, Henning Kost, Bernd Scholz-Reiter

      Pages 215-224

2. Image Processing and Analysis: Representations and models

   1. Hyperspectral Images as Function-Valued Mappings, Their Self-similarity and a Class of Fractal Transforms

      • Edward R. Vrscay, D. Otero, D. La Torre

      Pages 225-234

3. Image Processing and Analysis: Compression

   1. The Discrete Orthonormal Stockwell Transform and Variations, with Applications to Image Compression

      • J. Ladan, Edward R. Vrscay

      Pages 235-244

4. Image Processing and Analysis: Enhancement

   1. Cosine-Driven Non-linear Denoising

      • Daniel Thuerck, Arjan Kuijper

      Pages 245-254

   2. Color Correction Problem of Image Displayed on Non-white Projection Screen

      • Abdeldjalil Madi, Djemel Ziou

      Pages 255-263

   3. SRAD with Weighted Diffusion Function

      • Asaduzzaman Babu, Mahmoud R. El-Sakka

      Pages 264-273

   4. Correction of Geometrical Distortions in Bands of Chromatography Images

      • Bruno M. Moreira, António V. Sousa, Ana Maria Mendonça, Aurélio Campilho

      Pages 274-281

   5. Explicit and Semi-implicit Complex-Diffusion Schemes for Optical Coherence Tomography Despeckling

      • Pedro Rodrigues, Pedro Guimarães, Adérito Araújo, Sílvia Barbeiro, Rui Bernardes, Pedro Serranho

      Pages 282-289

   6. A New Algorithm for Background Removal of Document Images Acquired Using Portable Digital Cameras

      • Gabriel de França Pereira e Silva, Rafael Dueire Lins, André Ricardson Silva

      Pages 290-298

   7. Removing Shade and Specular Noise in Images of Objects and Documents Acquired with a 3D-Scanner

      • Rafael Dueire Lins, Gabriel de França Pereira e Silva, Ednardo Mariano, Jian Fan, Peter Majewicz, Marcelo Thielo

      Pages 299-307

   8. Shading Removal of Illustrated Documents

      • Daniel Marques Oliveira, Rafael Dueire Lins, Gabriel de França Pereira e Silva

      Pages 308-317

5. Image Processing and Analysis: Feature Detection and Segmentation

   1. Line Detection by Spherical Gradient

      • Shigang Li, Hanchao Jia, Isao Nakanishi

      Pages 318-325

   2. New Tools for Gray Level Histogram Analysis, Applications in Segmentation

      • Fernando Martín-Rodríguez

      Pages 326-335

   3. Unsupervised Visual Changepoint Detection Using Maximum Mean Discrepancy

      • Michael Diu, Mehrdad Gangeh, Mohamed S. Kamel

      Pages 336-345

   4. Novel Technique for Image Segmentation Based on Grammar Parsing and Hilbert Transform

      • Salah Hamdi, Asma Ben Abdallah, Mohamed Hedi Bedoui

      Pages 346-353

This book constitutes the thoroughly refereed proceedings of the 10th International Conference on Image Analysis and Recognition, ICIAR 2013, held in Póvoa do Varzim, Portugal, in June 2013, The 92 revised full papers presented were carefully reviewed and selected from 177 submissions. The papers are organized in topical sections on biometrics: behavioral; biometrics: physiological; classification and regression; object recognition; image processing and analysis: representations and models, compression, enhancement , feature detection and segmentation; 3D image analysis; tracking; medical imaging: image segmentation, image registration, image analysis, coronary image analysis, retinal image analysis, computer aided diagnosis, brain image analysis; cell image analysis; RGB-D camera applications; methods of moments; applications.

• biomedical data
• computer vision
• image steganography
• pattern recognition
• unsupervised learning

• Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Canada

  Mohamed Kamel

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

  Aurélio Campilho

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