19 citations · 55 across the 34 of their papers we have counts for
7 papers · 1 filter
Mathematical morphology on directional data
Konstantin Hauch, Claudia Redenbach
We define morphological operators and filters for directional images whose pixel values are unit vectors. This requires an ordering relation for unit vectors which is obtained by u…
MorphFlow: Estimating Motion in In Situ Tests of Concrete
Tessa Nogatz, Claudia Redenbach, Katja Schladitz
We present a novel algorithm explicitly tailored to estimate motion from time series of 3D images of concrete. Such volumetric images are usually acquired by Computed Tomography an…
Hybrid quantum transfer learning for crack image classification on NISQ hardware
Alexander Geng, Ali Moghiseh, Claudia Redenbach +1
Quantum computers possess the potential to process data using a remarkably reduced number of qubits compared to conventional bits, as per theoretical foundations. However, recent e…
Riesz feature representation: scale equivariant scattering network for classification tasks
Tin Barisin, Jesus Angulo, Katja Schladitz +1
Scattering networks yield powerful and robust hierarchical image descriptors which do not require lengthy training and which work well with very few training data. However, they re…
Riesz networks: scale invariant neural networks in a single forward pass
Tin Barisin, Katja Schladitz, Claudia Redenbach
Scale invariance of an algorithm refers to its ability to treat objects equally independently of their size. For neural networks, scale invariance is typically achieved by data aug…
An Analytical Representation of the 2d Generalized Balanced Power Diagram
Christian Jung, Claudia Redenbach
Tessellations are an important tool to model the microstructure of cellular and polycrystalline materials. Classical tessellation models include the Voronoi diagram and Laguerre te…