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Adaptive Morphologi...
Adaptive Morphological Filtering of Incomplete Data
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- Landström, Anders (författare)
- Luleå tekniska universitet,Signaler och system
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- Thurley, Matthew (författare)
- Luleå tekniska universitet,Signaler och system
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- Jonsson, Håkan (författare)
- Luleå tekniska universitet,Datavetenskap
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(creator_code:org_t)
- Piscataway, NJ : IEEE Communications Society, 2014
- 2014
- Engelska.
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Ingår i: 2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2013). - Piscataway, NJ : IEEE Communications Society. - 9781479921263
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- 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.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Nyckelord
- Mathematical morphology
- Adaptive morphology
- Normalized convolution
- Occluded data
- Signalbehandling
- Signal Processing
- Dependable Communication and Computation Systems
- Kommunikations- och beräkningssystem
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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