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Adaptive structuring elements based on salience distance transform
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. (Centre for Image Analysis)
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction. (Centre for Image Analysis)
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. (Centre for Image Analysis)
2012 (English)In: In Proceedings of Swedish Society for Image Analysis, SSBA 2012, KTH, Stockholm, 2012Conference paper, Oral presentation only (Other academic)
Abstract [en]

Spatially adaptive structuring elements adjust their shape to the local structures in the image, and are often defined by a ball in a geodesic distance or gray-weighted distance metric space. This paper introduces salience adaptive structuring elements as spatially variant structuring elements that modify not only their shape, but also their size according to the salience of the edges in the image. Consequently they have good properties for filtering.

Place, publisher, year, edition, pages
KTH, Stockholm, 2012.
National Category
Discrete Mathematics
Identifiers
URN: urn:nbn:se:uu:diva-175578OAI: oai:DiVA.org:uu-175578DiVA: diva2:532229
Conference
SSBA 2012
Available from: 2012-06-10 Created: 2012-06-10 Last updated: 2012-06-25

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Curic, VladimirLuengo Hendriks, Cris L.

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Computerized Image Analysis and Human-Computer InteractionDivision of Visual Information and Interaction
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