Open AccessImage processing system in conditions of uncertainty and the training of its operator
Author(s) -
В. В. Алексеев,
Denis Vyacheslavovich Lakomov,
A G Maamari,
Artem A. Shishkin,
Galina V. Petrukhnova
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/537/6/062043
Subject(s) - computer science , image processing , competence (human resources) , operator (biology) , basis (linear algebra) , image (mathematics) , process (computing) , digital image processing , information processing , data mining , artificial intelligence , machine learning , industrial engineering , computer vision , mathematics , engineering , psychology , social psychology , biochemistry , chemistry , geometry , repressor , neuroscience , biology , transcription factor , gene , operating system
In modern information systems, decision making based on image processing is hampered by the impact of negative external and internal factors leading to image blurring, which introduces uncertainty in this process. In this regard, algorithms and models are used to reduce the effect of uncertainty in image analysis. The article presents a new adaptive algorithm for image processing in different wave bands. The article also presents the results of research on the training of operators of image processing systems in conditions of uncertainty. It is proposed to train the operators of these systems on the basis of a competence-based approach using an information system that allows you to create individual training paths for the operators. The implementation of the training information system is proposed to be made on the basis of a web service.