Junction detection for linear structures
2011 (English)Conference paper (Refereed)Text
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.
Medical Image Processing
IdentifiersURN: urn:nbn:se:liu:diva-125025DOI: 10.1063/1.3596624OAI: oai:DiVA.org:liu-125025DiVA: diva2:902770
2011 INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL MODELS FOR LIFE SCIENCES (CMLS-11), 11–13 October 2011 Toyama City, (Japan)