Home > Publications database > A Unified Approach to the Processing of Hyperspectral Images |
Contribution to a conference proceedings/Contribution to a book | FZJ-2019-03517 |
; ;
2019
Springer International Publishing
Cham
ISBN: 978-3-030-20866-0 (print), 978-3-030-20867-7 (electronic)
This record in other databases:
Please use a persistent id in citations: http://hdl.handle.net/2128/22385 doi:10.1007/978-3-030-20867-7_16
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.
![]() |
The record appears in these collections: |