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Adaptive Morphological Filtering of Incomplete Data
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0001-6186-7116
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
2014 (English)In: 2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2013): Hobart, Australia, 26-28 Nov. 2013, Piscataway, NJ: IEEE Communications Society, 2014, 6691479Conference paper, Published paper (Refereed)
Abstract [en]

We demonstrate how known convolution techniques for uncertain data can be used to set the shapes of structuring elements in adaptive mathematical morphology, enabling robust morphological processing of partially occluded or otherwise incomplete data. Results are presented for filtering of both gray-scale images containing missing data and 3D profile data where information is missing due to occlusion effects. The latter demonstrates the intended use of the method: enhancement of crack signatures in a surface inspection system for casted steel.The presented method is able to disregard unreliable data in a systematic and robust way, enabling adaptive morphological processing of the available information while avoiding any false edges or other unwanted features introduced by the values of faulty pixels.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2014. 6691479
Keyword [en]
Mathematical morphology, Adaptive morphology, Normalized convolution, Occluded data, Information technology - Signal processing
Keyword [sv]
Informationsteknik - Signalbehandling
National Category
Signal Processing Computer Science
Research subject
Signal Processing; Dependable Communication and Computation Systems
Identifiers
URN: urn:nbn:se:ltu:diva-28194DOI: 10.1109/DICTA.2013.6691479Local ID: 1e921f6a-404e-4f47-9d93-5c4db6d3aa23ISBN: 9781479921263 (print)OAI: oai:DiVA.org:ltu-28194DiVA: diva2:1001389
Conference
International Conference on Digital Image Computing: Techniques and Applications : 26/11/2013 - 28/11/2013
Note
Godkänd; 2014; 20130923 (andlan)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-02-14Bibliographically approved

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Landström, AndersThurley, MatthewJonsson, Håkan
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