Abstract
The purpose of the study is development of adaptive optimum self-learning system for image processing with the presence of small aprioristic information about conditions of an object under research. We consider optimal mathematical solutions selection for automatic analysis and image processing processes by estimating informative efficiency for mesoscale plastic deformation and fracture processes study. The given algorithm can be used for the analysis of dynamically varied processes and working scenes of object recognition systems in robotics, transport, navigation, medicine, microbiology etc.
| Original language | English |
|---|---|
| Title of host publication | 8th Korea-Russia International Symposium on Science and Technology - Proceedings: KORUS 2004 |
| Pages | 88-91 |
| Number of pages | 4 |
| Volume | 1 |
| DOIs | |
| Publication status | Published - 2004 |
| Event | 8th Korea-Russia International Symposium on Science and Technology, KORUS 2004 - Tomsk, Russian Federation Duration: 26 Jun 2004 → 3 Jul 2004 |
Other
| Other | 8th Korea-Russia International Symposium on Science and Technology, KORUS 2004 |
|---|---|
| Country | Russian Federation |
| City | Tomsk |
| Period | 26.6.04 → 3.7.04 |
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Keywords
- Dynamic attributes
- Image analysis
- Image processing
- Informative efficiency
- Plastic deformation
ASJC Scopus subject areas
- Engineering(all)
Cite this
Development of adaptive method for estimating informative efficiency of dynamic attributes for image processing and analysis. / Kirichenko, Marina S.; Panin, Sergey V.
8th Korea-Russia International Symposium on Science and Technology - Proceedings: KORUS 2004. Vol. 1 2004. p. 88-91.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Development of adaptive method for estimating informative efficiency of dynamic attributes for image processing and analysis
AU - Kirichenko, Marina S.
AU - Panin, Sergey V.
PY - 2004
Y1 - 2004
N2 - The purpose of the study is development of adaptive optimum self-learning system for image processing with the presence of small aprioristic information about conditions of an object under research. We consider optimal mathematical solutions selection for automatic analysis and image processing processes by estimating informative efficiency for mesoscale plastic deformation and fracture processes study. The given algorithm can be used for the analysis of dynamically varied processes and working scenes of object recognition systems in robotics, transport, navigation, medicine, microbiology etc.
AB - The purpose of the study is development of adaptive optimum self-learning system for image processing with the presence of small aprioristic information about conditions of an object under research. We consider optimal mathematical solutions selection for automatic analysis and image processing processes by estimating informative efficiency for mesoscale plastic deformation and fracture processes study. The given algorithm can be used for the analysis of dynamically varied processes and working scenes of object recognition systems in robotics, transport, navigation, medicine, microbiology etc.
KW - Dynamic attributes
KW - Image analysis
KW - Image processing
KW - Informative efficiency
KW - Plastic deformation
UR - http://www.scopus.com/inward/record.url?scp=29344440238&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=29344440238&partnerID=8YFLogxK
U2 - 10.1109/KORUS.2004.1555282
DO - 10.1109/KORUS.2004.1555282
M3 - Conference contribution
AN - SCOPUS:29344440238
SN - 0780383834
VL - 1
SP - 88
EP - 91
BT - 8th Korea-Russia International Symposium on Science and Technology - Proceedings: KORUS 2004
ER -