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Adaptive hit or miss transform
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.
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.
2015 (English)In: Mathematical Morphology and Its Applications to Signal and Image Processing, Springer, 2015, p. 741-752Conference paper, Published paper (Refereed)
Abstract [en]

The Hit or Miss Transform is a fundamental morphological operator, and can be used for template matching. In this paper, we present a framework for adaptive Hit or Miss Transform, where structuring elements are adaptive with respect to the input image itself. We illustrate the difference between the new adaptive Hit or Miss Transform and the classical Hit or Miss Transform. As an example of its usefulness, we show how the new adaptive Hit or Miss Transform can detect particles in single molecule imaging.

Place, publisher, year, edition, pages
Springer, 2015. p. 741-752
Series
Lecture Notes in Computer Science ; 9082
National Category
Computer Vision and Robotics (Autonomous Systems)
Research subject
Computerized Image Processing
Identifiers
URN: urn:nbn:se:uu:diva-254744DOI: 10.1007/978-3-319-18720-4_62ISI: 000362366800062ISBN: 978-3-319-18719-8 (print)OAI: oai:DiVA.org:uu-254744DiVA, id: diva2:819481
Conference
ISMM 2015, May 27–29, Reykjavik, Iceland
Available from: 2015-06-10 Created: 2015-06-10 Last updated: 2018-01-11Bibliographically approved

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Curic, VladimirLuengo Hendriks, Cris L.

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  • nn-NB
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Output format
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  • asciidoc
  • rtf