Image processing and identification of objects in vision systems

Tayanch so'zlar: texnik ko'rish tizimlari (TKT), ma'lumotlarga ishlov berish, semantik 
aloqa, raqamli fotosuratlar, mijoz va server, dasturiy ta'minot arxitekturasi (DTA) 
 
 
Introduction 
At the same time, in order to create efficient technologies, the developed methods 
and algorithms must satisfy a number of requirements for speed and accuracy. Usually, 

---

НамДУ илмий ахборотномаси - Научный вестник НамГУ 2020 йил 3-сон
227 
each algorithm, having certain characteristics, ‚specializes‛ in its type of image. Therefore, 
in systems of technical vision (STV) it is necessary to combine several methods that solve 
the same problem in different ways, while ensuring the necessary performance indicators 
and identification accuracy. In turn, for the effective functioning of the STV it is necessary 
to constantly replenish the arsenal of methods and means of preliminary processing, 
image compression and construction of classifiers, which necessitates the openness of 
these systems, as well as the need for tools for their design [1]. 
The developed complex of methods and efficient algorithms for skeletonization, 
filtering, and extracting informative features of objects in images are based on the use of 
spectral models of form descriptors.
 
Functional diagram of the vision system 
Methods and algorithms for identifying images and spatial images are based on 
geometric moment functions, which, compared to the known, significantly increase the 
speed of the system for identifying images with the same recognition accuracy. In 
conclusion, the design technology of image identification systems, which is based on an 
object-oriented approach for modeling and analyzing information-processing processes, is 
described, and a number of identification systems are given. 
The general functional diagram of the STV is shown in Figure 1.
The image of the object through the optical device is transmitted to the converter 
light signal; the electrical signal in the device of primary processing of the image is 
amplified and stored [2, 3]. 
The device of image analysis (secondary processing) serves to select and recognize 
an object, determine its coordinates and position. If necessary, the processed information 
about the object is displayed on the visual inspection device. Based on the information 
received, the communication controller selects the control signals that actuate the 
actuators that carry out a targeted impact on the object. In addition, the STV can record the 
results of image analysis on media and output to a printing device. 
An important part of the system is the control unit. Its functions include the 
management of the parameters of processing units, as well as the synchronization of 
processes running in the system. 

---