001     838404
005     20210129231538.0
020 _ _ |a 978-3-319-61357-4 (print)
020 _ _ |a 978-3-319-61358-1 (electronic)
024 7 _ |a 10.1007/978-3-319-61358-1_6
|2 doi
037 _ _ |a FZJ-2017-07016
041 _ _ |a English
100 1 _ |a Burgeth, Bernhard
|0 P:(DE-HGF)0
|b 0
|e Corresponding author
245 _ _ |a Towards Processing Fields of General Real-Valued Square Matrices
260 _ _ |a Cham
|c 2017
|b Springer International Publishing
295 1 0 |a Modeling, Analysis, and Visualization of Anisotropy
300 _ _ |a 115 - 144
336 7 _ |a BOOK_CHAPTER
|2 ORCID
336 7 _ |a Book Section
|0 7
|2 EndNote
336 7 _ |a bookPart
|2 DRIVER
336 7 _ |a INBOOK
|2 BibTeX
336 7 _ |a Output Types/Book chapter
|2 DataCite
336 7 _ |a Contribution to a book
|b contb
|m contb
|0 PUB:(DE-HGF)7
|s 1508476019_23799
|2 PUB:(DE-HGF)
490 0 _ |a Mathematics and Visualization
520 _ _ |a In this paper, a general framework is presented that allows for thefundamental morphological operations such as dilation and erosion for real-valuedsquare matrix fields. Hence, it is also possible to process any field consisting ofa subgroup of general matrices with examples like the general linear, symmetric,skew-symmetric, Hermitian, and orthonormal group. Therefore, from the theoreticalpoint of view it is possible to process any field with entries consisting of theaforementioned groups. Extended examples illustrated the different conversionprocesses and the definition of corresponding pseudo-suprema and pseudo-infima.Furthermore, some possible applications are illustrated.
536 _ _ |a 511 - Computational Science and Mathematical Methods (POF3-511)
|0 G:(DE-HGF)POF3-511
|c POF3-511
|f POF III
|x 0
588 _ _ |a Dataset connected to CrossRef Book Series
700 1 _ |a Kleefeld, Andreas
|0 P:(DE-Juel1)169421
|b 1
|u fzj
773 _ _ |a 10.1007/978-3-319-61358-1_6
909 C O |o oai:juser.fz-juelich.de:838404
|p VDB
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
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|6 P:(DE-Juel1)169421
913 1 _ |a DE-HGF
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|v Computational Science and Mathematical Methods
|x 0
|4 G:(DE-HGF)POF
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|l Supercomputing & Big Data
914 1 _ |y 2017
920 _ _ |l no
920 1 _ |0 I:(DE-Juel1)JSC-20090406
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|l Jülich Supercomputing Center
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980 _ _ |a contb
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)JSC-20090406
980 _ _ |a UNRESTRICTED


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