Identification information sensors of robot systems
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Дата
2019-06
Автори
Parkhomey, Igor
Boiko, Juliy
Eromenko, Oleksander
Назва журналу
Номер ISSN
Назва тому
Видавець
Institute of Advanced Engineering and Science
Анотація
At the present time, the complexity of identification is to find such a
description, in which the image (information) of each class would have
identified similar properties. The task is to make the transformed description
includes the whole set of input images, united by the similarity class by the
given ratio. Using the ordinates of an autocorrelation function is an
inseparable shift in the center of gravity of an image, which leads to a change
of such description. Nicest, the concept of an invariant description of
information arises, this is an autocorrelation function, which is invariant to
the description of any displacements of the image in the vertical and
horizontal directions. The problem of finding an optimal decision rule arises,
which, in a number of cases, can be constructed on the basis of a method,
based on the definition of the maximum incomplete coefficient of similarity.
Using this method, the solutions, that are almost unintelligible to the errors
that arise due to the effects of interference, are found. Therefore,
in increments k, this rule passes into the Bayes’ rule.
Опис
In this paper, the process of identification is considered in the case of incomplete input information.
The complexity of this process is to find such a description in which the image (information) of each class
would have defined similar properties. The problem of finding the optimal decisive rule arises, which in
some cases can be constructed on the basis of a method based on the definition of the maximum incomplete
coefficient of similarity. To eliminate the influence of interference on the recognition process, special
decision rules are introduced.
One of them is based on the fact that the decision on the belonging of the image to the image is
made on the basis of the analysis of the images that fall into a certain close space, is classified. In this case,
the decision takes into account the majority, which agrees well with the results obtained by calculating the
similarity coefficient. This allows you to find solutions that are almost not sensitive to errors that occur due
to interference.
Ключові слова
autocorrelation function, coefficient of similarity, description of images, image border, invariance
Бібліографічний опис
Parkhomey I. Identification information sensors of robot systems / I. Parkhomey, J. Boiko, O. Eromenko // Indonesian Journal of Electrical Engineering and Computer Science. - 2019. - Vol.14, nr. 3. - P. 1235-1243.