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| Hauptseite > Publikationsdatenbank > Mathematical morphology for multispectral images > print |
| 001 | 848160 | ||
| 005 | 20210129234006.0 | ||
| 037 | _ | _ | |a FZJ-2018-03426 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |a Kleefeld, Andreas |0 P:(DE-Juel1)169421 |b 0 |e Corresponding author |u fzj |
| 111 | 2 | _ | |a SIAM Conference on Imaging Science 2018 |c Bologna |d 2018-06-05 - 2018-06-08 |w Italy |
| 245 | _ | _ | |a Mathematical morphology for multispectral images |
| 260 | _ | _ | |c 2018 |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a Other |2 DataCite |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
| 336 | 7 | _ | |a conferenceObject |2 DRIVER |
| 336 | 7 | _ | |a LECTURE_SPEECH |2 ORCID |
| 336 | 7 | _ | |a Conference Presentation |b conf |m conf |0 PUB:(DE-HGF)6 |s 1528796427_22830 |2 PUB:(DE-HGF) |x After Call |
| 520 | _ | _ | |a The processing of multispectral images is a challenging task due to the fact that the pixel content is vectorial and the definition of an order is difficult. A new geometrical framework based on double hypersimplices and the Loewner ordering is illustrated to define the two fundamental operations dilation and erosion for multispectral images. These are the two main building blocks of mathematical morphology to define higher morphological operations such as top hats, gradients, and the morphological Laplacian. Numerical results are given to show the advantages and shortcomings of the new proposed approach. |
| 536 | _ | _ | |a 511 - Computational Science and Mathematical Methods (POF3-511) |0 G:(DE-HGF)POF3-511 |c POF3-511 |f POF III |x 0 |
| 909 | C | O | |o oai:juser.fz-juelich.de:848160 |p VDB |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)169421 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |1 G:(DE-HGF)POF3-510 |0 G:(DE-HGF)POF3-511 |2 G:(DE-HGF)POF3-500 |v Computational Science and Mathematical Methods |x 0 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 |l Supercomputing & Big Data |
| 914 | 1 | _ | |y 2018 |
| 920 | _ | _ | |l no |
| 920 | 1 | _ | |0 I:(DE-Juel1)JSC-20090406 |k JSC |l Jülich Supercomputing Center |x 0 |
| 980 | _ | _ | |a conf |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-Juel1)JSC-20090406 |
| 980 | _ | _ | |a UNRESTRICTED |
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