Pattern Recognition and Information Processing

1. Front Matter

   Pages i-xi

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2. Summarizing Lecture (Plenary Papers)

   1. Front Matter

      Pages 1-1

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   2. Recent Progress in Computer-Vision-Based Human Activity Recognition and Related Areas

      • Gerhard Rigoll

      Pages 3-7

   3. Robots’ Vision Humanization Through Machine-Learning Based Artificial Visual Attention

      • Kurosh Madani

      Pages 8-19

   4. Reliability Analysis Based on Incompletely Specified Data

      • Elena Zaitseva, Vitaly Levashenko, Peter Sedlacek

      Pages 20-32

3. Pattern Recognition and Image Analysis

   1. Front Matter

      Pages 33-33

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   2. Brands and Caps Labeling Recognition in Images Using Deep Learning

      • Vladimir Golovko, Aliaksandr Kroshchanka, Egor Mikhno

      Pages 35-51

   3. Image Semantic Segmentation Based on Convolutional Neural Networks for Monitoring Agricultural Vegetation

      • Valentin Ganchenko, Alexander Doudkin

      Pages 52-63

   4. Possible Methodological Options for Development of Pattern Recognition Theory

      • Vladimir Obraztsov, Moqi Sun

      Pages 64-73

   5. Irrelation of Mathematical and Functional Aspects of Descriptive Image Algebras with One Ring Operations Interpretability

      • Igor Gurevich, Vera Yashina

      Pages 74-85

   6. Cell Nuclei Counting and Segmentation for Histological Image Analysis

      • Maryna Lukashevich, Valery Starovoitov

      Pages 86-97

   7. Examining the Capability of GANs to Replace Real Biomedical Images in Classification Models Training

      • Vassili Kovalev, Siarhei Kazlouski

      Pages 98-107

   8. Nearest Convex Hull Classifier with Simplified Proximity Measurement

      • Anatoly Nemirko

      Pages 108-118

   9. Shadow Detection in Satellite Images by Computing Its Characteristics

      • Ye Shiping, Henadzi Stantchik, Chen Chaoxiang, Olga Nedzved, Bai Zhicanirst, Sergey Ablameyko et al.

      Pages 119-133

   10. Method of Creating the 3D Face Model of Character Based on Textures Maps Module

       • Denys Zolotukhin, Anatoliy Sachenko, Artur Hermanowich, Myroslav Komar, Pavlo Bykovyy

       Pages 134-146

   11. Thresholding Neural Network Image Enhancement Based on 2-D Non-separable Quaternionic Filter Bank

       • Vladislav V. Avramov, Eugene V. Rybenkov, Nick A. Petrovsky

       Pages 147-161

4. Information Processing and Applications

   1. Front Matter

      Pages 163-163

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   2. Semantic-Based Linguistic Platform for Big Data Processing

      • A. Bobkov, S. Gafurov, Viktor Krasnoproshin, H. Vissia

      Pages 165-179

   3. Video-Based Content Extraction Algorithm from Bank Cards for iOS Mobile Devices

      • Rykhard Bohush, Alexander Kurilovich, Sergey Ablameyko

      Pages 180-191

   4. Detection of Bulbar Dysfunction in ALS Patients Based on Running Speech Test

      • Maxim Vashkevich, Artyom Gvozdovich, Yuliya Rushkevich

      Pages 192-204

This book constitutes the refereed proceedings of the 14th International Conference on Pattern Recognition and Information Processing, PRIP 2019, held in Minsk, Belarus, in May 2019. 

The 25 revised full papers were carefully reviewed and selected from 120 submissions. The papers of this volume are organized in topical sections on pattern recognition and image analysis; information processing and applications.

• artificial intelligence
• computer hardware
• computer networks
• computer systems
• computer vision
• image analysis
• image coding
• image processing
• image quality
• image segmentation
• information processing
• machine learning
• mathematics
• network protocols
• neural networks
• pattern recognition
• signal processing

• Belarusian State University, Minsk, Belarus

  Sergey V. Ablameyko, Viktor V. Krasnoproshin

• Belarusian State University of Informatics and Radioelectronics, Minsk, Belarus

  Maryna M. Lukashevich

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