Speaker
Prof.
Jos Roerdink
(University of Groningen)
Description
This talk centers around the analysis and visualization of
multidimensional scalar and tensor data within the framework of
mathematical morphology. Initiated in the 1960s, mathematical
morphology was developed to describe image operators for enhancement,
segmentation, and extraction of shape information from digital
images. In contrast to traditional linear image processing, the
morphological image operators focus on the geometrical content of
images and are nonlinear.
In this talk we first discuss morphological pyramids for
multiresolution visualization of volume data. Then we describe recent
work on morphological filters for multidimensional tensor-valued
data. From the theoretical point of view, an important aspect in the
design of morphological operators is their invariance under
translation, rotation or scale changes, or, more generally, under an
arbitrary group of transformations. A recent approach to group
invariance (and particularly rotation invariance) for tensor fields is
presented, based on the concept of frames.
Primary author
Prof.
Jos Roerdink
(University of Groningen)
Co-author
Dr
Jasper Van de Gronde
(University of Groningen)
