DETERMINING THE ORIENTATION OF THE ELEMENTARY COMPONENTS OF CHARACTERS MODELS, SUBJECT TO AUTOMATIC NAMING ON THE SET OF ATOMIC ELEMENTS
DOI:
https://doi.org/10.15588/1607-3274-2013-2-16Keywords:
automatic modeling, digital binary images, naming, recognition, decomposition of the shortest pathAbstract
Arbitrary nature digital binary images signs automatic modeling, naming and recognition are actual scientific and practical problems, which are existing in many areas of information technologies application scopes, particularly in electronic documents processing and analyzing. This article is devoted to a constructive definition of images structure components, that are modeled after skeletonization during preprocessing, and their properties, which will give an opportunity to perform automatic detection of described objects in order to form description of future signs, which will be named and recognized on atomic elements discrete setReferences
Shevczov D. V. Obosnovanie perspektivny’h napravlenij pri proektirovanii sistem avtomatizirovannoj obrabotki videoinformacii, Visnyk HNTU, 2009, No.1 (34), pp. 231–240.
Mel’nik A.-V. V., My’shko S. V., Shevczov D. V. Modeliruemoct’ GT-ob’’ekta na diskretnom mnozhestve atomarny’h e’lementov, Visnik HNTU, 2008, No. 33, pp. 112–118.
My’shko S. V., Shevczov D. V. Avtomaticheskaya dekompoziciya izobrazhenij pri ih opoznavanii v sistemah texnicheskogo zreniya robotov, Naukovi pratsi Donets’kogo derzhavnogo tehnichnogo universitetu. Seriia: Obchysliuval’na tehnika ta avtomatyzatsiia, Vypusk 38, Donets’k, RVA DonDTU, 2002, pp. 216–222.
Vajsrub N. V., Mel’nik A.-V. V., My’shko S. V., Shevczov D. V. Primenenie sposoba formirovaniya GT-ob’’ektov i sposoba avtomaticheskogo modelirovaniya izobrazhenij pri
proektirovanii sistem tehnicheskogo zreniya, Informatsiinokeruiuchi systemy na zaliznychnomu transporti, 2009, No. 2, pp. 55–59.
Gonsales R., Tu Dzh Principy’ raspoznavaniya obrazov, Moscow, Mir, 1978, 416 p.
Fu K. Strukturny’e metody’ v raspoznavanii obrazov, Moscow, Mir, 1977, 319 p.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2014 D. V. Shevtsov
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Creative Commons Licensing Notifications in the Copyright Notices
The journal allows the authors to hold the copyright without restrictions and to retain publishing rights without restrictions.
The journal allows readers to read, download, copy, distribute, print, search, or link to the full texts of its articles.
The journal allows to reuse and remixing of its content, in accordance with a Creative Commons license СС BY -SA.
Authors who publish with this journal agree to the following terms:
-
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License CC BY-SA that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
-
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
-
Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.