Evaluation of the influence of the properties of inhomogeneous media in the formation of the image in technical vision systems

2019 ◽  
Author(s):  
Tatiana A. Akimenko ◽  
Olga Y. Gorbunova
Keyword(s):  
Inhomogeneous Media ◽  
Vision Systems ◽  
Technical Vision

IMAGE PROCESSING AND RECOGNITION TECHNOLOGIES IN ON-BOARD TECHNICAL VISION SYSTEMS

2017 ◽  
Vol 60 ◽  
pp. 34-44 ◽  
Author(s):  
B. A. Alpatov ◽  
◽  
P. V. Babayan ◽  
Keyword(s):  
Image Processing ◽  
Vision Systems ◽  
Technical Vision

Algorithm of geometrical transformation and merging of radar and video images for technical vision systems

2018 ◽  
Author(s):  
Aleksey I. Efimov ◽  
Dmitry A. Kolchaev ◽  
Mihael B. Nikiforov ◽  
Anatoly I. Novikov
Keyword(s):  
Vision Systems ◽  
Video Images ◽  
Geometrical Transformation ◽  
Technical Vision

scholarly journals RESEARCH OF THE METHODS EFFICIENCY FOR DETERMINING THE DISTANCE AND GEOMETRIC OBJECTS PARAMETERS OF TECHNICAL VISION SYSTEMS

2020 ◽  
Vol 4 (4) ◽  
pp. 64-69
Author(s):  
Valeriy Barsov ◽  
Olena Kosterna ◽  
Oleksandr Plakhotnyi
Keyword(s):  
Vision Systems ◽  
Technical Vision ◽  
Geometric Objects

Technical Vision Model of the Visual Systems for Industry Application

2021 ◽  
pp. 288-310
Author(s):  
Oleg Sytnik ◽  
Vladimir Kartashov
Keyword(s):  
Image Processing ◽  
Pattern Recognition ◽  
Visual System ◽  
Mathematical Models ◽  
Human Visual System ◽  
Vision System ◽  
Vision Systems ◽  
Industrial Systems ◽  
Visual Systems ◽  
Technical Vision

The problems of highlighting the main informational aspects of images and creating their adequate models are discussed in the chapter. Vision systems can receive information about an object in different frequency ranges and in a form that is not accessible to the human visual system. Vision systems distort the information contained in the image. Therefore, to create effective image processing and transmission systems, it is necessary to formulate mathematical models of signals and interference. The chapter discusses the features of perception by the human visual system and the issues of harmonizing the technical characteristics of industrial systems for receiving and transmitting images. Methods and algorithms of pattern recognition are discussed. The problem of conjugation of the characteristics of the technical vision system with the consumer of information is considered.

Television communications with laser illumination in integrated search systems of underwater robotic complexes

2021 ◽  
Vol 4 ◽  
pp. 7-12
Author(s):  
V.L. Martynov ◽  
◽  
E.V. Krechetova ◽  
M.S. Shimanskaya
Keyword(s):  
Barents Sea ◽  
Visual Observation ◽  
Robotic Systems ◽  
Search Performance ◽  
Vision Systems ◽  
Laser Illumination ◽  
The Barents Sea ◽  
Technical Vision ◽  
Search Systems

One of the important tasks in creating underwater robotic systems is to increase their search performance. Its implementation is based on the integration of the capabilities of hydroacoustic search systems and technical vision systems, in which it is advisable to use laser emitters as a system for highlighting objects of observation in the hydrosphere. The article presents calculations of the potential ranges of visual observation by technical vision systems with laser illuminators of search objects at working depths in the Barents Sea.

Reconfigurable lenses in technical vision systems

2021 ◽  
Vol 27 (S4) ◽  
pp. 47-50
Author(s):  
N.V. Vasilyev ◽  
O. M. Alykova ◽  
A.V. Rybakov ◽  
V.V. Smirnov
Keyword(s):  
Vision Systems ◽  
Technical Vision

scholarly journals Development of mounted system for controlling row crop cultivator in automatic mode

2021 ◽  
Vol 59 (2) ◽  
pp. 232-242
Author(s):  
V. V. Azarenko ◽  
D. I. Komlach ◽  
V. V. Goldyban ◽  
I. A. Baranovsky ◽  
G. A. Prokopovich
Keyword(s):  
Machine Vision ◽  
Automatic Control ◽  
Vision System ◽  
Regular Structure ◽  
Labor Costs ◽  
Vision Systems ◽  
Automated Control ◽  
Row Crops ◽  
Technical Vision ◽  
Control Automation

Weed control automation appears to be a very promising technology based on the tremendous advances in computer processing, machine vision and robotics. Machine vision systems are based on size differences between crops and weeds and or on the regular structure of crop rows, allowing the system to recognize crop plants and control surrounding weeds. The paper provides description of the mounted system for orienting the row cultivator in rows and its displacement relative to the tractor using vision systems and automatic control. The developed technical vision system is capable of clearly identifying sugar beet leaves based on the deep learning artificial neural networks technology, and a specially developed algorithm for identifying the center of the row spacing to control the moving part of the cultivator in the required direction to level the inaccuracy of the tractor. The use of controlled mounted device with a tractor and an implement based on vision systems, the accuracy of technological operations for the row crops care, will increase the technical level of the machine and tractor unit, and reduce labor costs. Technical vision systems and automatic control of the cultivator will improve the quality of inter-row cultivation of row crops and reduce the pesticide load on the environment. The results of these studies can be used to create machines for cultivation of agricultural crops with an automated control system.

Image Machine

2017 ◽  
Author(s):  
Andreas Broeckmann
Keyword(s):  
Visual Media ◽  
Human Vision ◽  
Visual Artists ◽  
Human Visual Perception ◽  
Vision Systems ◽  
Early Computer ◽  
Technical Vision ◽  
And Control ◽  
Human Eyes ◽  
Nam June Paik

This chapter deals with the role that vision and images play in the conjunction of technics and aesthetics in the twentieth century. Based on an analysis of the fundamental technicity of human visual perception, it discusses the complicated notion of the “image” and that of the “medium” in art. The chapter begins with a detailed analysis of the concept of “operational images,” which pinpoints the tension between images that are produced to be seen by human eyes, and technical vision systems that are independent of human vision and human intervention. The author then presents artworks by artists including Nam June Paik, Steina Vasulka, and Julien Maire which articulate the complex aesthetics of visual media techniques. A discussion of early computer graphics artists like Vera Molnar, and more recent works by Antoine Schmitt, JODI, and others, exemplifies how issues like seriality, chance, and control have concerned visual artists working with different media supports ever since the 1920s. Finally, an analysis of works by David Rokeby, Wolfgang Staehle, and David Tomas serve to further outline the particular aesthetics of machine images and automated vision systems.

Sign in / Sign up

Export Citation Format

Share Document