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A comparison of  medical image analysis algorithms for edge detection
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management.
2010 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Edge detection is always study focus in the field of medical image processing and analysis. It is an absolutely necessary step in medical image processing. In China medical field, processing of real-time data is constrained by limited resources .Thus, it is important to understand and analysis image analysis algorithms for accuracy, speed and quality. In this paper are analyzed the frequency features of the (Sobel,   Prewitt ,  Robert , Laplacian, Canny operators) from the viewpoint of frequency and speed domain, and it is proposed that the frequency features of the different operators should be considered when different operators are being used or constructed. Because edge detection operators is sensitive to the edge type, the appropriate operator should be adopted should be adopted in different edge type detection. Finally, the importance and necessary of comparing the continuity and speed edge detection operators are validated in the area of MRI image.

Place, publisher, year, edition, pages
2010. , p. 19
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:hig:diva-6912OAI: oai:DiVA.org:hig-6912DiVA, id: diva2:324629
Presentation
2010-06-10, 11:30 (English)
Uppsok
Technology
Supervisors
Examiners
Available from: 2010-06-23 Created: 2010-06-15 Last updated: 2018-01-12Bibliographically approved

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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