lnu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Automated document analysis for quick personal health record creation
Lviv Polytechnic National University, Ukraine.ORCID iD: 0000-0002-6962-9363
Lviv Polytechnic National University, Ukraine.ORCID iD: 0000-0001-7970-8498
Lviv Polytechnic National University, Ukraine.ORCID iD: 0000-0003-4284-9961
Lviv Polytechnic National University, Ukraine.ORCID iD: 0000-0002-2504-5833
Show others and affiliations
2019 (English)In: Proceedings of the 2nd International Workshop on Informatics & Data-Driven Medicine (IDDM 2019): Lviv, Ukraine, November 11-13, 2019 / [ed] Nataliya Shakhovska, Ivan Izonin, Sergio Montenegro, Yannick Estève, Jaime Campos & Natalia Kryvinska, CEUR-WS.org , 2019, Vol. 2488, p. 208-221Conference paper, Published paper (Refereed)
Abstract [en]

We propose our own optimization methods to speed up the work and compare different approaches for high-quality implementation of the idea. The subproblem of the first stage in image processing is a filtration. As a result of the research, can distinguish the following main types of noises: additive and impulse. The impulse is associated with losses in the transmissions through a communication channels. We can remove noise using the Gaussian blur, whichcan be used from the OpenCV library. The purpose of the first stage is to identify the edges, because with the development of technology, it simplifies the operation of data processing algorithms, and thus the storage and processing of information. The second step is to find out the contours in the image that represent the document, which we want to check. The last step lays in taking the four points, representing the outline of the medical document (found in the second step) and appling a perspective transform to get a top-down image with an angle of 90 degrees, because we need a view at a right angle, since it is more convenient to work with it.

Place, publisher, year, edition, pages
CEUR-WS.org , 2019. Vol. 2488, p. 208-221
Series
CEUR Workshop Proceedings, E-ISSN 1613-0073 ; 2488
Keywords [en]
Methods, Technologies, OpenCV library, The Gaussian blur, Algorithms such as Canny, Algorithms such as Derich
National Category
Computer and Information Sciences
Research subject
Computer and Information Sciences Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-93530ISI: 000546007300018Scopus ID: 2-s2.0-85074653447OAI: oai:DiVA.org:lnu-93530DiVA, id: diva2:1424379
Conference
The 2nd International Workshop on Informatics & Data-Driven Medicine (IDDM 2019), Lviv, Ukraine, November 11-13, 2019
Available from: 2020-04-17 Created: 2020-04-17 Last updated: 2021-06-07Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

ScopusFull text

Authority records

Campos, Jaime

Search in DiVA

By author/editor
Boyko, NataliyaPylypiv, OlenaPeleshchak, YuliaKryvenchuk, YurkoCampos, Jaime
By organisation
Department of Informatics
Computer and Information Sciences

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 251 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf