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Journal of Automation and Information Sciences
SJR: 0.275 SNIP: 0.59 CiteScore™: 0.8

ISSN Druckformat: 1064-2315
ISSN Online: 2163-9337

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Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v32.i1.40
pages 25-28

Criteria of Optimal Indications Systems Construction while Recognizing Images

Bogdan P. Rusyn
G.V. Karpenko Physico-Mechanical Institute of National Academy of Sciences of Ukraine, Lvov

ABSTRAKT

While recognizing images, we suggest integral and differential criteria for estimation of indications self-descriptiveness. It enables us to form the optimal (with respect to the processing speed, the reliability for decision-making, the level of paralleling, the invariance under affine transformations and other parameters) indication systems. This system is destined for a construction of high-performance algorithms for processing of the image recognition on a real time basis.


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