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Detection of common envoirmental interferences in front of a camera lens
Halmstad University, School of Information Technology.
Halmstad University, School of Information Technology.
2018 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Modern vehicles are very dependent on sensors and especially cameras to analyze different objects and conditions. Single camera systems are frequently used for lane detection and identifying objects in the distance. These systems depend on good conditions to work properly and are easily disrupted by environmental interferences. This project is targeted in developing an image processing algorithm that can detect disturbances applied upon the camera lens. Several focus measure operators are evaluated and compared by expected outcome while still maintaining a satisfying computational time, low resource usage and accuracy with an ERR between 0% - 1%.

Place, publisher, year, edition, pages
2018. , p. 46
Keywords [en]
Computer Vision, Focus Measure, OpenCV, Machine Vision
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:hh:diva-37350OAI: oai:DiVA.org:hh-37350DiVA, id: diva2:1228088
External cooperation
Diadrom Systems AB
Subject / course
Computer science and engineering
Educational program
Computer Science and Engineering, 300 credits
Supervisors
Examiners
Available from: 2018-07-02 Created: 2018-06-27 Last updated: 2018-07-02Bibliographically approved

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fulltext(13453 kB)2 downloads
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File name FULLTEXT02.pdfFile size 13453 kBChecksum SHA-512
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Ejdeholm, DawidHarsten, Jacob
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CiteExportLink to record
Permanent link

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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