Публікація: Information System for Automating Processes of Biological Objects Detection, Recognition, and Measurement
Завантаження...
Дата
2021
Назва журналу
ISSN журналу
Назва тома
Видавництво
Sofia Technical University
Анотація
The article briefly describes the existing and
proposes novel approaches to the detection, estimation of the
number and measurement of physical parameters of biological
objects in the frames of computer vision systems. The object
detection method is based on a two-stage algorithm: at the first
stage, the approximate position of the object is determined
using edge detection algorithms; at the second stage, graphic
models of the object are built by creating graphical primitives.
An algorithm for constructing graphical primitives is
developed using the color of a biological object as a parameter.
The presence of the second stage can significantly reduce both
false positive and false negative results. To implement the
presented model theoretical studies and practical experiments
are carried out. During experiments, it was revealed that the
proposed approach allows increasing the accuracy of
determining biological objects, since it works with a color
image and, accordingly, uses the ranges of digital color
channels. In addition, the construction of graphical primitives,
taking into account color ranges, makes it possible to estimate
the physical characteristics of a biological object. The proposed
two-stage technique for the automatic determination of
biological objects makes it possible to solve the problems of
positioning ultraviolet and low-frequency laser devices for
point irradiation. The presence in the algorithm of the stage of
constructing graphical primitives on biological objects makes it
possible to estimate the degree of fatness of the animal, which
is one of the components of determining its state of health, and
can be part of an automatic system for contactless
determination of the animal's weight.
Опис
Ключові слова
raster image processing, object measurement, computer vision system, pattern recognition, data filtering, edge detectors
Бібліографічний опис
Information System for Automating Processes of Biological Objects Detection, Recognition, and Measurement / Y. E. Megel, A. S. Kuzenko, I. Blagov, Sv. Kovalenko, Ser. Kovalenko, M. Malko, А. І. Rybalka // 31th IEEE International Scientific Symposium “Metrology and Metrology Assurance, MMA, 2021”. P. 82-88.