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
Sub-millimeter crack detection in casted steel using color photometric stereo
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0001-6186-7116
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
2014 (English)In: 2013 International Conference on Digital Image Computing Techniques and Applications (DICTA 2013: Hobart, Australia, 26-28 November 2013, Piscataway, NJ: IEEE Communications Society, 2014, 6691532Conference paper, Published paper (Refereed)
Abstract [en]

A novel method for automated inspection of small corner cracks in casted steel is presented, using a photometric stereo setup consisting of two light sources of different colors in conjunction with a line-scan camera. The resulting image is separated into two different reflection patterns which are used to cancel shadow effects and estimate the surface gradient. Statistical methods are used to first segment the image and then provide an estimated crack probability for each segmented region. Results show that true cracks are successfully assigned a high crack probability, while only a minor proportion of other regions cause similar probability values. About 80% of the cracks present in the segmented regions are given a crack probability higher than 70%, while the corresponding number for other non-crack regions is only 5%. The segmented regions contain over 70% of the manually identified crack pixels. We thereby provide proof-of-concept for the presented method.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2014. 6691532
Keyword [en]
Surface insepction, Crack detection, Photometric stereo, Information technology - Signal processing
Keyword [sv]
Informationsteknik - Signalbehandling
National Category
Signal Processing Computer Science
Research subject
Signal Processing; Dependable Communication and Computation Systems
Identifiers
URN: urn:nbn:se:ltu:diva-32150DOI: 10.1109/DICTA.2013.6691532Local ID: 68a4cc64-db20-4442-8ab8-62fd3335615dISBN: 978-1-4799-2128-7 (print)OAI: oai:DiVA.org:ltu-32150DiVA: diva2:1005384
Conference
International Conference on Digital Image Computing: Techniques and Applications : 26/11/2013 - 28/11/2013
Projects
VSB - Vision Systems Business Development Platform
Note
Godkänd; 2014; 20130923 (andlan)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-25Bibliographically approved

Open Access in DiVA

fulltext(12777 kB)130 downloads
File information
File name FULLTEXT01.pdfFile size 12777 kBChecksum SHA-512
322ff38d1ac48c84fcd3c2b6ea75d4680b7c2e5150f10e7cfd0032f541fbcc58c27111909fd90832c110f270251406657957aeab367dfffa35b6e16ba453efe2
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Search in DiVA

By author/editor
Landström, AndersThurley, MatthewJonsson, Håkan
By organisation
Signals and SystemsComputer Science
Signal ProcessingComputer Science

Search outside of DiVA

GoogleGoogle Scholar
Total: 130 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 309 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