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HYBRID INFORMATION MODELS IN IMAGE PROCESSING SYSTEMS
Author(s) -
Svetlana Antoshchuk,
О. Yu. Babilunga
Publication year - 2014
Publication title -
computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.184
H-Index - 11
eISSN - 2312-5381
pISSN - 1727-6209
DOI - 10.47839/ijc.8.2.665
Subject(s) - image processing , computer science , image (mathematics) , information processing , digital image processing , artificial intelligence , computer vision , data mining , pattern recognition (psychology) , neuroscience , biology
In this article the approach to the development of hybrid information models in image processing systems is presented. This approach allowed creating more effective methods and information technologies of the image processing, analysis and recognition.