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- aggregation classification "P1".
- aggregation creator person.
- aggregation creator person.
- aggregation creator person.
- aggregation creator person.
- aggregation creator person.
- aggregation date "2011".
- aggregation format "application/pdf".
- aggregation hasFormat 1224889.bibtex.
- aggregation hasFormat 1224889.csv.
- aggregation hasFormat 1224889.dc.
- aggregation hasFormat 1224889.didl.
- aggregation hasFormat 1224889.doc.
- aggregation hasFormat 1224889.json.
- aggregation hasFormat 1224889.mets.
- aggregation hasFormat 1224889.mods.
- aggregation hasFormat 1224889.rdf.
- aggregation hasFormat 1224889.ris.
- aggregation hasFormat 1224889.txt.
- aggregation hasFormat 1224889.xls.
- aggregation hasFormat 1224889.yaml.
- aggregation isPartOf urn:isbn:9783642241352.
- aggregation isPartOf urn:isbn:9783642241369.
- aggregation isPartOf urn:issn:0302-9743.
- aggregation language "eng".
- aggregation publisher "Springer".
- aggregation rights "I have transferred the copyright for this publication to the publisher".
- aggregation subject "Biology and Life Sciences".
- aggregation title "Leaf segmentation and tracking using probabilistic parametric active contours".
- aggregation abstract "Active contours or snakes are widely used for segmentation and tracking. These techniques require the minimization of an energy function, which is generally a linear combination of a data fit term and a regularization term. This energy function can be adjusted to exploit the intrinsic object and image features. This can be done by changing the weighting parameters of the data fit and regularization term. There is, however, no rule to set these parameters optimally for a given application. This results in trial and error parameter estimation. In this paper, we propose a new active contour framework defined using probability theory. With this new technique there is no need for ad hoc parameter setting, since it uses probability distributions, which can be learned from a given training dataset.".
- aggregation authorList BK182458.
- aggregation endPage "85".
- aggregation startPage "75".
- aggregation volume "6930".
- aggregation aggregates 3052519.
- aggregation isDescribedBy 1224889.
- aggregation similarTo 978-3-642-24136-9_7.
- aggregation similarTo LU-1224889.