2009
DOI: 10.1049/el.2009.0320
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Retrospective shading correction algorithm based on signal envelope estimation

Abstract: This is the unspecified version of the paper.This version of the publication may differ from the final published version. Permanent

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Cited by 26 publications
(22 citation statements)
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“…Intensity inhomogeneity was corrected [25] and artefacts were removed with a mean image of the temporal sequence. The centroids of the RBCs were determined together with the distances that separated them from neighbours, if any.…”
Section: Velocity Analysismentioning
confidence: 99%
“…Intensity inhomogeneity was corrected [25] and artefacts were removed with a mean image of the temporal sequence. The centroids of the RBCs were determined together with the distances that separated them from neighbours, if any.…”
Section: Velocity Analysismentioning
confidence: 99%
“…The first stage did a very coarse clustering to find large similarities, but allowed for differences (largely from the dropout and occlusion) that would be "washed away" through averaging when the samples are merged at the end of the This is an author-produced, peer-reviewed version of this article. The final, definitive version of this document can be found online at HIP ' 15 stage. This reduced the size of the dataset, and removed large quantities of noise.…”
Section: Experiments and Resultsmentioning
confidence: 99%
“…In other cases, it also appears due to the nature of data i.e. the non-uniformity of tissues leads to an increased inhomogeneity [14]. An effective way to overcome the inhomogeneity problem is to approximate the image based energy E ext using a fairly small region, so that curve evolves according to the local intensity dis-90 tribution.…”
Section: Related Workmentioning
confidence: 99%