English version
Institute of Cybernetics
Institute of Cybernetics
Institute of Cybernetics
Institute of Cybernetics
Institute of Cybernetics
Main > Research and development activities > Developing methods and algorithms of computational intelligence for image and video recognition
Developing methods and algorithms of computational intelligence for image and video recognition

Department

Department of Computer Engineering

Applied results

Automatic image enhancement software tools based on using genetic algorithm and neuroevolutionary approach. Software packages for simulating electromagnetic wave propagation in plasma medium. Methods and software for simulating radio wave scattering in ionospheric plasma disturbances caused by space craft. Methods and algorithms of digital image and video processing and analysis based on use of artificial neural networks and evolutionary algorithms.

Laboratory facilities

  1. "Gas production company operations control room simulator" laboratory facility including a video system, server and client hardware and software;
  2. computers and servers in classrooms and training and research laboratories "Geographic Information Systems" and "Discrete and Microprocessor equipment";
  3. LARM 02 - automated workplace for performing laboratory classes in electrical engineering, electronics, and circuit engineering;
  4. NIELVIS - laboratory training stations for performing laboratory classes in electronics and circuit engineering;
  5. SDK 1.1, SDK 2.1, SDK 6.1 – laboratory training stations for performing laboratory classes in electronics, circuit engineering, and microprocessors;
  6. ADZS – video and audio signal processing facility for carrying out researches and performing laboratory classes in circuit engineering and microprocessors;
  7. LEGO 8457 Mindstorm NXT.2 – robot for performing laboratory classes in circuit engineering and microprocessors;
  8. NIOS ΙΙ – debugging system for performing laboratory classes in circuit engineering and microprocessors.

Tasks performed

Within the frameworks of areas of research, commercial R&D activities, state-financed R&D ordered by Ministry of Education of the Russian Federation, as well as R&D works supported in 2000-2012 by grants from Russian Foundation for Basic Research. Professor N.G. Markov's science school in geoinformatics was officially recognized as Russia's leading science school and in 2000-2002 had financial support through "Support of Russia's leading science schools" grant by President of Russian Federation, and in 2005-2006 - through the "Support of young candidates of sciences and their scientific advisors" President's grant.

Contact information

V. G. Spitzyn, DSc, Professor (spvg@tpu.ru)