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Computer Vision Classification of Leaves from Swedish Trees
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology.
2001 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The aim of this master thesis is to classify the tree class from an image of a leaf with a computer vision classiffication system. We compare different descriptors that will describe the leaves different features. We will also look at different classiffication models and combine them with the descriptors to build a system hat could classify the different tree classes.

Place, publisher, year, edition, pages
2001. , 74 p.
Series
LiTH-ISY-Ex, 3132
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-54366ISRN: n/aOAI: oai:DiVA.org:liu-54366DiVA: diva2:303038
Presentation
(English)
Uppsok
Technology
Available from: 2010-03-10 Created: 2010-03-10 Last updated: 2010-03-30Bibliographically approved

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fulltext(6319 kB)1652 downloads
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Type fulltextMimetype application/pdf

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • 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