hig.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard-cite-them-right
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • sv-SE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • de-DE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Feature Extraction From Images of Buildings Using Edge Orientation and Length
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management.
2012 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

To extract information from a scene captured in digital images where the information represents some kind of feature is an important process in image analysis. Both the speed and the accuracy for this process is very important since many of the analysis applications either require analysis of very large data sets or requires the data to be extracted in real time. Some of those applications could be 2 dimensional as well as 3 dimensional object recognition or motion detection. What this work will focus on is the extraction of salient features from scenes of buildings, using a joint histogram based both the edge orientation and the edge length to aid in the extraction of the relevant features. The results are promising but will need some more refinement work to be used successfully and is therefore quite a bit of reflected theory.

Place, publisher, year, edition, pages
2012. , p. 33
Keywords [en]
Feature Extraction, Edge Detection, Joint Histogram
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:hig:diva-12510OAI: oai:DiVA.org:hig-12510DiVA, id: diva2:542410
Subject / course
Computer science
Educational program
Computer science
Uppsok
Technology
Supervisors
Examiners
Available from: 2012-08-14 Created: 2012-07-31 Last updated: 2018-01-12Bibliographically approved

Open Access in DiVA

fulltext(1586 kB)594 downloads
File information
File name FULLTEXT01.pdfFile size 1586 kBChecksum SHA-512
5000a57cef334422b841e55d284aec655cfaf85e39149abecdbac022f5d0afb54de0d9db3d988387b9708c686ea86451258080bf736528877c92ac0ec4a5f4cd
Type fulltextMimetype application/pdf

By organisation
Department of Industrial Development, IT and Land Management
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 594 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

urn-nbn

Altmetric score

urn-nbn
Total: 342 hits
CiteExportLink to record
Permanent link

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