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Your New Default  Thresholding Method?: A robust global gray-level thresholding method based on object features
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction. (Quantitative Microscopy)ORCID iD: 0000-0002-6699-4015
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction. (Quantitative Microscopy)
2015 (English)In: BioImage Informatics Conference 2015 / [ed] Peter Bajcsy, 2015Conference paper, Poster (with or without abstract) (Other academic)
Abstract [en]

We present a new robust method for global gray-level thresholding. The method is based on object features and the input is an interval of the expected object sizes. It is especially suitable for biomedical microscopy applications where objects often vary in number, but have limited variation in size. Our vision is that this method should be the first thresholding method you try when designing a pipeline for object segmentation, and thus your new default method.

Place, publisher, year, edition, pages
2015.
National Category
Medical Image Processing
Research subject
Computerized Image Processing
Identifiers
URN: urn:nbn:se:uu:diva-268288OAI: oai:DiVA.org:uu-268288DiVA: diva2:882340
Conference
BioImage Informatics Conference 2015, Gaithersburg, MD, USA
Available from: 2015-12-14 Created: 2015-12-03 Last updated: 2015-12-14

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Ranefall, PetterWählby, Carolina

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