Contribution to a conference proceedings/Contribution to a book FZJ-2019-03517

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A Unified Approach to the Processing of Hyperspectral Images

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2019
Springer International Publishing Cham
ISBN: 978-3-030-20866-0 (print), 978-3-030-20867-7 (electronic)

Mathematical Morphology and Its Applications to Signal and Image Processing
14th International Symposium on Mathematical Morphology and Its Applications to Signal and Image Processing, ISMM 2019, SaarbrückenSaarbrücken, Germany, 8 Jul 2019 - 10 Jul 20192019-07-082019-07-10
Cham : Springer International Publishing, Lecture Notes in Computer Science 11564, 202 - 214 () [10.1007/978-3-030-20867-7_16]

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Abstract: Since vector fields, such as RGB-color, multispectral or hyperspectral images, possess only limited algebraic and ordering structures they do not lend themselves easily to image processing methods. However, for fields of symmetric matrices a sufficiently elaborate calculus, that includes, for example, suitable notions of multiplication, supremum/infimum and concatenation with real functions, is available. In this article a vector field is coded as a matrix field, which is then processed by means of the matrix valued counterparts of image processing methods. An approximate decoding step transforms a processed matrix field back into a vector field. Here we focus on proposing suitable notions of a pseudo-supremum/infimum of two vectors/colors and a PDE-based dilation/erosion process of color images as a proof-of-concept. In principle there is no restriction on the dimension of the vectors considered. Experiments, mainly on RGB-images for presentation reasons, will reveal the merits and the shortcomings of the proposed methods.


Contributing Institute(s):
  1. Jülich Supercomputing Center (JSC)
Research Program(s):
  1. 511 - Computational Science and Mathematical Methods (POF3-511) (POF3-511)

Appears in the scientific report 2019
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Embargoed OpenAccess ; NationallizenzNationallizenz ; SCOPUS
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 Datensatz erzeugt am 2019-06-26, letzte Änderung am 2021-01-30


Published on 2019-05-31. Available in OpenAccess from 2020-05-31.:
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