Image Analysis and Recognition

1. Medical Image Processing and Analysis

   1. Thermal Signature Using Non-redundant Temporal Local Binary-Based Features

      • Adnan Al Alwani, Youssef Chahir, Francois Jouen

      Pages 151-158

   2. Image Warping in Dermatological Image Hair Removal

      • Alexandra Nasonova, Andrey Nasonov, Andrey Krylov, Ivan Pechenko, Alexey Umnov, Natalia Makhneva

      Pages 159-166

   3. 3D Multimodal Visualization of Subdural Electrodes with Cerebellum Removal to Guide Epilepsy Resective Surgery Procedures

      • Nádia Moreira da Silva, Ricardo Rego, João Paulo Silva Cunha

      Pages 167-174

2. Medical Image Segmentation

   1. Front Matter

      Pages 175-175

      PDF

   2. On the Automatic Normalization of Plaque Regions in Ultrasound Images of the Carotid

      • José Rouco, Jorge Novo, Aurélio Campilho

      Pages 177-184

   3. Automatic Tear Film Segmentation Based on Texture Analysis and Region Growing

      • Beatriz Remeseiro, Katherine M. Oliver, Eilidh Martin, Alan Tomlinson, Daniel G. Villaverde, Manuel G. Penedo

      Pages 185-192

   4. An Improved Segmentation Method for Non-melanoma Skin Lesions Using Active Contour Model

      • Qaisar Abbas, Irene Fondón, Auxiliadora Sarmiento, M. Emre Celebi

      Pages 193-200

   5. Statistical-Based Segmentation of Bone Structures via Continuous Max-Flow Optimization

      • Jose-Antonio Pérez Carrasco, Carmen Serrano Gotarredona, Cristina Suárez-Mejías, Begoña Acha-Piñero

      Pages 201-208

   6. A Portable Multi-CPU/Multi-GPU Based Vertebra Localization in Sagittal MR Images

      • Mohamed Amine Larhmam, Sidi Ahmed Mahmoudi, Mohammed Benjelloun, Saïd Mahmoudi, Pierre Manneback

      Pages 209-218

   7. An Automated Level-set Approach for Identification of Aortic Valve Borders in Short Axis Windows of Transesophageal Echo Sequences (TEE)

      • César Veiga, Francisco Calvo, Emilio Paredes-Galán, Pablo Pazos, Carlos Peña, Andrés Íñiguez

      Pages 219-226

   8. Reliable Lung Segmentation Methodology by Including Juxtapleural Nodules

      • J. Novo, J. Rouco, A. Mendonça, Aurélio Campilho

      Pages 227-235

3. Computer-Aided Diagnosis

   1. Front Matter

      Pages 237-237

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   2. Fully Automatic 3D Glioma Extraction in Multi-contrast MRI

      • Pavel Dvorak, Karel Bartusek

      Pages 239-246

   3. Grading Cancer from Liver Histology Images Using Inter and Intra Region Spatial Relations

      • Mickaël Garnier, Maya Alsheh Ali, Johanne Seguin, Nathalie Mignet, Thomas Hurtut, Laurent Wendling

      Pages 247-254

   4. eFis: A Fuzzy Inference Method for Predicting Malignancy of Small Pulmonary Nodules

      • Aydın Kaya, Ahmet Burak Can

      Pages 255-262

   5. Degradation Adaptive Texture Classification: A Case Study in Celiac Disease Diagnosis Brings New Insight

      • Michael Gadermayr, Andreas Uhl, Andreas Vécsei

      Pages 263-273

4. Retinal Image Analysis

   1. Front Matter

      Pages 275-275

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   2. Optic Disk Localization for Gray-Scale Retinal Images Based on Patch Filtering

      • F. Sattar, Aurélio Campilho, M. Kamel

      Pages 277-284

   3. Automatic Optic Disc Detection in Retinal Fundus Images Based on Geometric Features

      • Isabel N. Figueiredo, Sunil Kumar

      Pages 285-292

   4. Optic Nerve Head Detection via Group Correlations in Multi-orientation Transforms

      • Erik Bekkers, Remco Duits, Bart ter Haar Romeny

      Pages 293-302

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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