Methodological Principles of Pyramidal and Parallel-Hierarchical Image Processing on the Base of Neural-Like Network Systems

被引：10

作者：

Kozhemyako, Volodymyr ^{[1
]}

Timchenko, Leonid ^{[2
]}

Yarovyy, Andriy ^{[1
]}

机构：

[1] Vinnytsia Natl Tech Univ, UA-21021 Vinnytsia, Ukraine

[2] Kyiv Univ Econ & Transport Technol, UA-03049 Kiev, Ukraine

来源：

ADVANCES IN ELECTRICAL AND COMPUTER ENGINEERING | 2008年 / 8卷 / 02期

关键词：

parallel processing; parallel-hierarchical network; image processing; pattern recognition;

D O I：

10.4316/aece.2008.02010

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The scientific research deals with organization principles of parallel-hierarchical transform for multistage perception and processing, compression and recognition of information in informational structure and computational systems which make use of computational scheme similar to neural. Unified methodological approach was developed for analysis of parallel processes. This approach considers influence of structural hierarchy in dynamics, in other words it tracks processes of spatial areas transformation of correlated and generation of uncorrelated in time elements of generated network, at the time of transition of the network from one stable stage to another.

引用

页码：54 / 60

页数：7

共 34 条

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