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Vector area morphology for motion field smoothing and interpretation


Reference:

Evans, A. N., 2003. Vector area morphology for motion field smoothing and interpretation. IEE Proceedings - Vision Image and Signal Processing, 150 (4), pp. 219-226.

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Abstract

A new nonlinear technique for filtering motion fields and other multivariate data is introduced. The method is developed from mathematical morphological area openings and uses a vector-to-scalar transform, in which each vector is replaced by the sum of the distances to its connected neighbours, to control the growth of extrema regions. As the filter either perfectly preserves or completely removes image components, it is able to remove noise without altering significant features. In addition, at larger area sizes, a meaningful interpretation of the underlying structure is achieved. Results show that the vector area morphology sieve performs well in comparison to the widely used vector median filter.

Details

Item Type Articles
CreatorsEvans, A. N.
Uncontrolled Keywordsnonlinear filters, image components, random noise, motion field smoothing, motion field interpretation, vector median filter, nonlinear filtering, multivariate data, image motion analysis, mathematical morphology, image colour analysis, vectors, median filters, vector area morphology sieve, noise removal, vector-to-scalar transform, image denoising
DepartmentsFaculty of Engineering & Design > Electronic & Electrical Engineering
RefereedYes
StatusPublished
ID Code6039

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