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A new approach to mathematical morphology on one dimensional sampled signals
Uppsala University.
Centre for Image Analysis, Uppsala University and Swedish University of Agricultural Sciences.
Luleå tekniska universitet, Institutionen för system- och rymdteknik, Signaler och system.ORCID-id: 0000-0001-6186-7116
Uppsala University.
2016 (Engelska)Ingår i: Proceedings of the 23rd International Conference on Pattern Recognition ICPR 2016, Piscataway, NJ: IEEE Communications Society, 2016, s. 3904-3909Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

We present a new approach to approximate continuous-domain mathematical morphology operators. The approach is applicable to irregularly sampled signals. We define a dilation under this new approach, where samples are duplicated and shifted according to the flat, continuous structuring element. We define the erosion by adjunction, and the opening and closing by composition. These new operators will significantly increase precision in image measurements. Experiments show that these operators indeed approximate continuous-domain operators better than the standard operators on sampled one-dimensional signals, and that they may be applied to signals using structuring elements smaller than the distance between samples. We also show that we can apply the operators to scan lines of a two-dimensional image to filter horizontal and vertical linear structures.

Ort, förlag, år, upplaga, sidor
Piscataway, NJ: IEEE Communications Society, 2016. s. 3904-3909
Serie
International Conference on Pattern Recognition, ISSN 1051-4651
Nationell ämneskategori
Signalbehandling
Forskningsämne
Signalbehandling
Identifikatorer
URN: urn:nbn:se:ltu:diva-40062DOI: 10.1109/ICPR.2016.7900244ISI: 000406771303148Scopus ID: 2-s2.0-85016103039Lokalt ID: f0a13c20-b5dd-495e-aabb-b1f51125302dISBN: 978-1-5090-4847-2 (digital)OAI: oai:DiVA.org:ltu-40062DiVA, id: diva2:1013585
Konferens
2016 23rd International Conference on Pattern Recognition (ICPR), Cancun, Mexico, 4-8 Dec. 2016
Tillgänglig från: 2016-10-03 Skapad: 2016-10-03 Senast uppdaterad: 2018-07-10Bibliografiskt granskad

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