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Mathematical Analysis of Intensity Based Segmentation Algorithms with Implementations on Finger Images in an Uncontrolled Environment
Mälardalen University, School of Education, Culture and Communication.
2019 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

The main task of this thesis is to perform image segmentation on images of fingers to partition the image into two parts, one with the fingers and one with all that is not fingers. First, we present the theory behind several well-used image segmentation methods, such as SNIC superpixels, the k-means algorithm, and the normalised cut algorithm. These have then been implemented and tested on images of fingers and the results are shown. The implementations are unfortunately not stable and give segmentations of varying results. 

Place, publisher, year, edition, pages
2019. , p. 46
Keywords [en]
Image segmentation, normalised cut, k-means, applied mathematics, matlab
National Category
Other Mathematics
Identifiers
URN: urn:nbn:se:mdh:diva-43650OAI: oai:DiVA.org:mdh-43650DiVA, id: diva2:1321331
External cooperation
CapWings Sweden AB
Subject / course
Mathematics/Applied Mathematics
Supervisors
Examiners
Available from: 2019-06-10 Created: 2019-06-07 Last updated: 2019-06-10Bibliographically approved

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fulltext(1551 kB)18 downloads
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File name FULLTEXT01.pdfFile size 1551 kBChecksum SHA-512
360b112161fce73e9fbc9205eafa2f28557499c2509ffcf306ab8e2fcb522ade131447696cde5e5acf3c6cc5dc63cd52a642484ce76dcbe0b1f2aaee0c163795
Type fulltextMimetype application/pdf

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Svens, Lisa
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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