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Proceedings Paper

Architecture of the parallel hierarchical network for fast image recognition
Author(s): Leonid Timchenko; Waldemar Wójcik; Natalia Kokriatskaia; Yuriy Kutaev; Igor Ivasyuk; Andrzej Kotyra; Saule Smailova
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Paper Abstract

Multistage integration of visual information in the brain allows humans to respond quickly to most significant stimuli while maintaining their ability to recognize small details in the image. Implementation of this principle in technical systems can lead to more efficient processing procedures. The multistage approach to image processing includes main types of cortical multistage convergence. The input images are mapped into a flexible hierarchy that reflects complexity of image data. Procedures of the temporal image decomposition and hierarchy formation are described in mathematical expressions. The multistage system highlights spatial regularities, which are passed through a number of transformational levels to generate a coded representation of the image that encapsulates a structure on different hierarchical levels in the image. At each processing stage a single output result is computed to allow a quick response of the system. The result is presented as an activity pattern, which can be compared with previously computed patterns on the basis of the closest match. With regard to the forecasting method, its idea lies in the following. In the results synchronization block, network-processed data arrive to the database where a sample of most correlated data is drawn using service parameters of the parallel-hierarchical network.

Paper Details

Date Published: 28 September 2016
PDF: 8 pages
Proc. SPIE 10031, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016, 1003154 (28 September 2016); doi: 10.1117/12.2249340
Show Author Affiliations
Leonid Timchenko, State Univ. of Transport Economy and Technologies (Ukraine)
Waldemar Wójcik, Lublin Univ. of Technology (Poland)
Natalia Kokriatskaia, State Univ. of Transport Economy and Technologies (Ukraine)
Yuriy Kutaev, Dept. KIA Systems JSC Design Bureau (Russian Federation)
Igor Ivasyuk, State Univ. of Transport Economy and Technologies (Ukraine)
Andrzej Kotyra, Lublin Univ. of Technology (Poland)
Saule Smailova, D. Serikbayev East Kazakhstan State Technical Univ. (Kazakhstan)


Published in SPIE Proceedings Vol. 10031:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016
Ryszard S. Romaniuk, Editor(s)

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