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Found 10 papers, 1 papers with code
MorphFlow: Estimating Motion in In Situ Tests of Concrete
We present a novel algorithm explicitly tailored to estimate motion from time series of 3D images of concrete.
Hybrid quantum transfer learning for crack image classification on NISQ hardware
Quantum computers possess the potential to process data using a remarkably reduced number of qubits compared to conventional bits, as per theoretical foundations.
Riesz feature representation: scale equivariant scattering network for classification tasks
In this work, we define an alternative feature representation based on the Riesz transform.
Riesz networks: scale invariant neural networks in a single forward pass
For neural networks, scale invariance is typically achieved by data augmentation.
Improved Anisotropic Gaussian Filters
Elongated anisotropic Gaussian filters are used for the orientation estimation of fibers.
Assessing cloudiness in nonwovens
Cloudiness or formation is a concept used to describe deviations from homogeneity in filter media.
A hybrid quantum image edge detector for the NISQ era
In this paper, we propose a hybrid method for quantum edge detection based on the idea of a quantum artificial neuron.
An unambiguous cloudiness index for nonwovens
Measuring a cloudiness index based on image data is a common task in industrial quality assurance.
Improved FRQI on superconducting processors and its restrictions in the NISQ era
Quantum image processing promises to encode images with logarithmically less qubits than classical pixels in the image.
Local Fiber Orientation from X-ray Region-of-Interest Computed Tomography of large Fiber Reinforced Composite Components
The local fiber orientation is a micro-structural feature crucial for the mechanical properties of parts made from fiber reinforced polymers.
