Information System for Automating Processes of Biological Objects Detection, Recognition, and Measurement

Megel, Y. E.; Kuzenko, A. S.; Blagov, I.; Kovalenko, Sv.; Kovalenko, Ser.; Malko, M.; Rybalka, А. І.

Публікація:
Information System for Automating Processes of Biological Objects Detection, Recognition, and Measurement

dc.contributor.author	Megel, Y. E.
dc.contributor.author	Kuzenko, A. S.
dc.contributor.author	Blagov, I.
dc.contributor.author	Kovalenko, Sv.
dc.contributor.author	Kovalenko, Ser.
dc.contributor.author	Malko, M.
dc.contributor.author	Rybalka, А. І.
dc.date.accessioned	2021-12-28T15:22:22Z
dc.date.available	2021-12-28T15:22:22Z
dc.date.issued	2021
dc.description.abstract	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.	uk_UA
dc.identifier.citation	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.	uk_UA
dc.identifier.uri	https://openarchive.nure.ua/handle/document/18828
dc.language.iso	en	uk_UA
dc.publisher	Sofia Technical University	uk_UA
dc.subject	raster image processing	uk_UA
dc.subject	object measurement	uk_UA
dc.subject	computer vision system	uk_UA
dc.subject	pattern recognition	uk_UA
dc.subject	data filtering	uk_UA
dc.subject	edge detectors	uk_UA
dc.title	Information System for Automating Processes of Biological Objects Detection, Recognition, and Measurement	uk_UA
dc.type	Conference proceedings	uk_UA
dspace.entity.type	Publication