Лаборатория ИТСОМЗ

22
Lab. of Information technologies in learning and computer vision systems” 1 Научно-исследовательская и учебная лаборатория Информационные технологии в системах обучения и машинного зрения (ИТСОМЗ)

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Lab. of “Information technologies in learning and computer vision systems” 1

Научно-исследовательская и учебная лаборатория

Информационные технологии в

системах обучения и машинного

зрения (ИТСОМЗ)

Lab. of “Information technologies in learning and computer vision systems” 2

Зав. лабораторией Белоус Наталия

ИТСОМЗ создана 4 марта 2005г. Приказом

ректора как структурное подразделение НИЧ ХНУРЭ

Исследователи:

Шубин И.

Белоус И.

Иванисенко И.

Аспиранты:Красов А.

Куцевич И.

Горбач Т.

Карманенко О.

Lab. of “Information technologies in learning and computer vision systems” 3

Основные научные направления:

-системы компьютерного зрения

-медицинские и диагностические автоматизированные системы

-биометрические информационные системы

-анализ сцен и построение 3D моделей

-методологии разработки, технологии интеграции и

интеллектуального анализа данных

-знание-ориентированные технологии классификации, диагностики

и прогнозирования ситуаций

-интеллектуальные системы безопасности

- интегрированные системы компьютерного тестирования знаний и

обучения

Lab. of “Information technologies in learning and computer vision systems” 4

Научные семинары

В рамках лаборатории проводится 2

научных семинара:

«Методы, модели, алгоритмы в

системах распознавания»

«Компьютерно-ориентированные

обучающие системы и средства

мультимедиа»

Lab. of “Information technologies in learning and computer vision systems” 5

Intelligent transportation

system

Industrialsecurity

Educationsystems

Building management

systemProposition

Computer vision

systems

Our laboratory

Contacts

Analysis of scenes and 3D models

construction

Medical and diagnostic

automated systems

Biometrics information

systems

The knowledge-based technologies for

classification, diagnostics and prediction of situations

Industrial security

Methodologies of development, integration technologies and intellectual data analysis in

corporate information systems

Scientific

directions

Computer vision systems

Intelligent security and management systems

Intelligent transportation system

Psychological testing

Modern technologies for

learning and testing

Qualityanalysis of test items

Education systems

Building management system

Lab. of “Information technologies in learning and computer vision systems” 6

I. Development of medical image processing

and analysis systems for different kinds of

visual diagnostics data

II. Development of cardiovascular

diagnostics systems based on ECG analysis

III. Development of eye diagnostic system

IV. Development of complementary

medicine support systems

Biomedical systems

Intelligent transportation

system

Industrialsecurity

Educationsystems

Building management

systemProposition

Computer vision

systems

Our laboratory

Contacts

Lab. of “Information technologies in learning and computer vision systems” 7

- Structure Analysis:

level segmentation, irregularly lightened image

segmentation, contour tracing, skeletonization,

contour processing.

- Image Processing: loading and saving data,

color and brightness correction, filtration, edge

detection, binarization and histogram processing.

- 3D Modeling: modeling organ surfaces by

stereo images and tomography section data,

voxel and polygon visualization, 3D contour

visualization.

I. Medical Image Processing and Analysis System

Intelligent transportation

system

Industrialsecurity

Educationsystems

Building management

systemProposition

Computer vision

systems

Our laboratory

Contacts

Lab. of “Information technologies in learning and computer vision systems” 8

Applications:

- Clinical researches

- Inspection of home

doctors

- Personal application

by patients to control

cardiovascular system

state

- Control of the heart

state after physical and

emotional stresses.

II. Cardiovascular Diagnostics Systems

Developed innovative techniques of ECG

recognition can be realized in parallel for

the fully hardware implementation in a

difference to existing systems.

Intelligent

transportation

system

Industrial

security

Education

systems

Building

management

system

Proposition

Computer

vision

systems

Our

laboratoryContacts

Lab. of “Information technologies in learning and computer vision systems” 9

Conclusion:

Using tangent angle scale-space ECG representation is proposed

which increases the measurement accuracy for T and P wave

boundaries of the ECG

– increasing reliability of big amount of special heart diseasediagnostics

Elastic match function and dynamic programming algorithm to

minimize it was developed to provide more clean averaging of ECG

intervals. Rapid comparison and summation of ECG Cardio Cycles

provides more representative averaged signal

– eliminate low frequency distortions of the signal.

II. Cardiovascular Diagnostics Systems

Intelligent

transportation

system

Industrial

security

Education

systems

Building

management

system

Proposition

Computer

vision

systems

Our

laboratoryContacts

Lab. of “Information technologies in learning and computer vision systems” 10

Permanent and irreparable loss of the visibility zone with

glaucoma

III. EYE DISEASE DIAGNOSTICS

Intelligent

transportation

system

Industrial

security

Education

systems

Building

management

system

Proposition

Computer

vision

systems

Our

laboratoryContacts

Lab. of “Information technologies in learning and computer vision systems”

Main Purpose:

Support express computerdiagnostics of human health statebased on the Eastern methods ofdiagnostics and therapy (modifiedNakatani method by 24measurements)

Provide visual representation ofacquired diagnostic results in theview of human bioenergetics field(eastern - aura)

IV. Biotechnical System for Human

Bioenergetic Field Visualization

Intelligent

transportation

system

Industrial

security

Education

systems

Building

management

system

Proposition

Computer

vision

systems

Our

laboratoryContacts

Lab. of “Information technologies in learning and computer vision systems” 12

Hybrid methods and intelligent technologies of` data analysis, modeling and prediction processes in

enterprise information systems of new generation

Intelligent

transportation

system

Industrial

security

Education

systems

Building

management

system

Proposition

Computer

vision

systems

Our

laboratoryContacts

APPLICATION AREAS

Geometric object detection and identification

systems

Medical image processing systems –

processing and analysis of X-Ray and computer

tomography images.

Analysis of microscopic images: cells and

molecules segmentation, counting and

measuring.

OCR systems for recognition of printed and

hand printed text and mathematic formulas.

Lab. of “Information technologies in learning and computer vision systems” 13

BIOMETRIC PERSON IDENTIFICATION BY

HAND GEOMETRY

Biometrics refers to the automatic identification

of a person based on his/her physiological or

behavioral characteristics. This method of

identification is preferred over traditional methods

involving passwords and PIN numbers for various

reasons: the person to be identified is required to be

physically present at the point-of-identification;

identification based on biometric techniques

obviates the need to remember a password or carry

a token. With the increased use of computers as

vehicles of information technology, it is necessary

to restrict access to sensitive/personal data.

Intelligent

transportation

system

Industrial

security

Education

systems

Building

management

system

Proposition

Computer

vision

systems

Our

laboratoryContacts

Lab. of “Information technologies in learning and computer vision systems” 14

DERMATOGLYPHIC INFORMATION ANALYSIS

Intelligent

transportation

system

Industrial

security

Education

systems

Building

management

system

Proposition

Computer

vision

systems

Our

laboratoryContacts

Lab. of “Information technologies in learning and computer vision systems” 15

Lucher Color Test

Intelligent

transportation

system

Industrial

security

Education

systems

Building

management

system

Proposition

Computer

vision

systems

Our

laboratoryContacts

Cattell’s 16 Factor Test

Example of the results

Psychological testing

• Определение эмоционального

состояния тестируемых

• Определение возможности

работы тестируемых в команде

Lab. of “Information technologies in learning and computer vision systems” 16

Control of

vehicle fleet

Providing

comfort of

movement

Control of

violations

Transport

telematics

Providing

safety of

movement on

railway

Intelligent

transportation

system

Industrial

security

Education

systems

Building

management

system

Proposition

Computer

vision

systems

Our

laboratoryContacts

Lab. of “Information technologies in learning and computer vision systems” 17

Providing comfort of movement

Path finding

Notification about

congestions

Path finding with

taking into account

congestions

Intelligent

transportation

system

Industrial

security

Education

systems

Building

management

system

Proposition

Computer

vision

systems

Our

laboratoryContacts

Lab. of “Information technologies in learning and computer vision systems” 18

Providing safety of movement on railway

Control crossings

Discovery of incisions

railway points and move

throw forbidding signal

of traffic light

System for recreation

and analysis of incidents

Intelligent

transportation

system

Industrial

security

Education

systems

Building

management

system

Proposition

Computer

vision

systems

Our

laboratoryContacts

Lab. of “Information technologies in learning and computer vision systems” 19

Industrial security system abilities:

The threats recognition and classification

The automatic calculation of danger level in the selected region

The automatic calculation of world coordinates of dangerous

objects

Intelligent

transportation

system

Industrial

security

Education

systems

Building

management

system

Proposition

Computer

vision

systems

Our

laboratoryContacts

Lab. of “Information technologies in learning and computer vision systems” 20

Mobile Education, Diagnostics and Monitoring: Implementation Approaches

Internal data processing, event diagnostics and forecast:Requirements: powerful processor, large operative and storage memory,no network connection required

Internal data processing and external event diagnostics andforecast

Requirements: medium power processor, medium operative memory,small storage memory, low-bandwidth network

External data processing, event diagnostics and forecastRequirements: simple power processor, small operative small storagememory, high-bandwidth network

Intelligent

transportation

system

Industrial

security

Education

systemsProposition

Computer

vision

systems

Our

laboratoryContacts

Building

management

system

Lab. of “Information technologies in learning and computer vision systems” 21

Lifelong Learning

Programme(LLP)http://ec.europa.eu/education

/ lifelong-learning-

programme

Collaboration between the German research

foundation (DFG) and the State fund for

fundamental researches (SFFR) (Ukraine)

http://www.dfg.de/index.jsp

Erasmus Mundus

programme

http://eacea.ec.europa.e

u/ erasmus_mundus/

Seventh Framework

Programme (FP7)http://cordis.europa.eu

/fp7/home_en.html

Deutscher Akademischer

Austauschdienst

(DAAD)

http://www.daad.de

ProjectsJoint

publications

Double Degree

Master Program

(DDMP)

Tempus IVhttp://eacea.ec.europa

.eu/tempus/

Intelligent

transportation

system

Industrial

security

Education

systems

Building

management

system

Proposition

Computer

vision

systems

Our

laboratoryContacts

Lab. of “Information technologies in learning and computer vision systems” 22

Intelligent

transportation

system

Industrial

security

Education

systems

Building

management

system

Proposition

Computer

vision

systems

Our

laboratoryContacts

[email protected] Skype: bilous_n_v