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2013 | OriginalPaper | Chapter

Machine Vision in Autonomous Systems of Detection and Location of Objects in Digital Images

Authors : Artur Babiarz, Robert Bieda, Karol Jędrasiak, Aleksander Nawrat

Published in: Vision Based Systemsfor UAV Applications

Publisher: Springer International Publishing

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In the article a group of vi libraries (“virtual instrument”) of the simulation – programming LabVIEW environment, enabling the construction of a program that would be the basics of the image programming and analysis system, are presented. Presented libraries are dedicated for the Vivotek, supporting the SDK module (“VitaminCtrl”). They provide the ability to connect the camera that works on the Internet, configuration of the transmission protocol, acquisition parameters and audio and video streaming. In addition, while operating the PTZ (“pan-tilt-zoom”) cameras, suggested module allow to control the camera motion from the client application level which was created in the National Instruments’ firm environment. With the use of the designed libraries, the LabVIEW environments and PTZ cameras of Vivotek a post was made to make algorithm and synthesis of the processing algorithms and for the analysis of digital images. At the stage of the development of the functional modules, a consistent idea of input and output signals definition was also developed. The created modules rely on both the commands of the controlling module SDK and syntax URL format commands. What is more, designed modules enable capturing the video signal frames and their conversation to a LabVIEW variable environment of Image type (“IMAQ Image.ctl”). With the achieved functionality a simple construction of an application for the synthesis and analysis of algorithms for image processing and for the analysis of images acquired in the real time, directly from the camera, is possible.

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Metadata
Title
Machine Vision in Autonomous Systems of Detection and Location of Objects in Digital Images
Authors
Artur Babiarz
Robert Bieda
Karol Jędrasiak
Aleksander Nawrat
Copyright Year
2013
Publisher
Springer International Publishing
DOI
https://doi.org/10.1007/978-3-319-00369-6_1

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