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Junction detection for linear structures
School of Engineering and Information Technology, The University of New South Wales, Canberra, ACT 2600, Australia.
CSIRO Mathematics, Informatics and Statistics, North Ryde, NSW 1670, Australia.
The University of Aizu, Aizu-Wakamatsu, Fukushima 965-8580, Japan.ORCID iD: 0000-0002-4255-5130
2011 (English)Conference paper, Published paper (Refereed)
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Text
Abstract [en]

This paper presents a method for detecting junctions in an image with linear structures. The candidate junction points are selected through the combination of correlation matrix and Hessian information; then the branches of the junctions are found according to the intensity information and the correlation value between intensity profile of cross sections and a Gaussian‐shaped template. Junction detection results for neurite images are provided.

Place, publisher, year, edition, pages
2011. Vol. 1371, 29-36 p.
National Category
Medical Image Processing
Identifiers
URN: urn:nbn:se:liu:diva-125025DOI: 10.1063/1.3596624OAI: oai:DiVA.org:liu-125025DiVA: diva2:902770
Conference
2011 INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL MODELS FOR LIFE SCIENCES (CMLS-11), 11–13 October 2011 Toyama City, (Japan)
Available from: 2016-02-12 Created: 2016-02-12 Last updated: 2016-02-23

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Pham, Tuan D
Medical Image Processing

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CiteExportLink to record
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Citation style
  • apa
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