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dc.contributor.author Galiullin L.A.
dc.contributor.author Valiev R.A.
dc.date.accessioned 2021-02-25T20:36:14Z
dc.date.available 2021-02-25T20:36:14Z
dc.date.issued 2020
dc.identifier.issn 0974-3154
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/161990
dc.description.abstract © International Research Publication House The goal of the article was to increase the efficiency of the laser complex by aggregating various processing methods into one working tool and developing a new software firmware for the machine. A detailed analysis of the enterprise and the platform for which it is required to develop a project was carried out. Thus, alternative solutions in the form of third-party graphic editors, various applications for controlling a laser machine, as well as software firmware for control cards were considered. Analysis of third-party solutions made it possible to look at the problem from different angles, identify and clarify the necessary precedents and possible solutions. The result of this chapter was the development of requirements for the designed system. The architecture of the software firmware of the machine was developed and the methods of image processing were determined, the principles of their operation were considered, block diagrams were implemented. The functionality of software firmware was described, an example of working with a computer on a parallel port is shown. They also described in detail the implemented image processing methods, and provide arguments for choosing one or another of the methods. At the end of the chapter were presented examples of the program, as well as highlighted the main advantages of the algorithms.
dc.relation.ispartofseries International Journal of Engineering Research and Technology
dc.subject Automation
dc.subject Image
dc.subject Method
dc.subject Processing
dc.subject System
dc.title Method for image processing
dc.type Article
dc.relation.ispartofseries-issue 11
dc.relation.ispartofseries-volume 13
dc.collection Публикации сотрудников КФУ
dc.relation.startpage 3542
dc.source.id SCOPUS09743154-2020-13-11-SID85097909572


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  • Публикации сотрудников КФУ Scopus [24551]
    Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.

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