Development of adaptive method for estimating informative efficiency of dynamic attributes for image processing and analysis

Author

Kirichenko, Marina S. ; Panin, Sergey V.

Author_Institution

Inst. of Strength Phys. & Mater. Sci., Acad. of Sci., Tomsk, Russia

Volume

1

fYear

2004

fDate

26 June-3 July 2004

Firstpage

88

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.

Keywords

fracture; image processing; mechanical engineering computing; object recognition; plastic deformation; adaptive optimum self-learning system; fracture processes; image analysis; image processing; informative efficiency estimation; mesoscale plastic deformation; object recognition systems; Adaptive systems; Algorithm design and analysis; Image analysis; Image processing; Layout; Medical robotics; Navigation; Object recognition; Plastics; Robotics and automation;

fLanguage

English

Publisher

ieee

Conference_Titel

Science and Technology, 2004. KORUS 2004. Proceedings. The 8th Russian-Korean International Symposium on

Print_ISBN

0-7803-8383-4

Type

conf

DOI

10.1109/KORUS.2004.1555282

Filename

1555282