Katja Schladitz

According to our database, Katja Schladitz authored at least 20 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Riesz Networks: Scale-Invariant Neural Networks in a Single Forward Pass.

Tin Barisin, Katja Schladitz, Claudia Redenbach

J. Math. Imaging Vis., June, 2024

Riesz Feature Representation: Scale Equivariant Scattering Network for Classification Tasks.

Tin Barisin, Jesús Angulo, Katja Schladitz, Claudia Redenbach

SIAM J. Imaging Sci., 2024

2023

Improved FRQI on superconducting processors and its restrictions in the NISQ era.

Alexander Geng, Ali Moghiseh, Claudia Redenbach, Katja Schladitz

Quantum Inf. Process., February, 2023

Hybrid quantum transfer learning for crack image classification on NISQ hardware.

Alexander Geng, Ali Moghiseh, Claudia Redenbach, Katja Schladitz

CoRR, 2023

Improved Anisotropic Gaussian Filters.

Alex Keilmann, Michael Godehardt, Ali Moghiseh, Claudia Redenbach, Katja Schladitz

CoRR, 2023

2022

A hybrid quantum image edge detector for the NISQ era.

Alexander Geng, Ali Moghiseh, Claudia Redenbach, Katja Schladitz

Quantum Mach. Intell., 2022

Methods for segmenting cracks in 3d images of concrete: A comparison based on semi-synthetic images.

Tin Barisin, Christian Jung, Franziska Müsebeck, Claudia Redenbach, Katja Schladitz

Pattern Recognit., 2022

A Local Approach for Computing Smooth B-Spline Surfaces for Arbitrary Quadrilateral Base Meshes.

Dennis Mosbach, Katja Schladitz, Bernd Hamann, Hans Hagen

J. Comput. Inf. Sci. Eng., 2022

Assessing cloudiness in nonwovens.

Michael Godehardt, Ali Moghiseh, Christine Oetjen, Joachim Ohser, Simon Ringger, Katja Schladitz, Ingo Windschiegel

CoRR, 2022

An unambiguous cloudiness index for nonwovens.

Michael Godehardt, Ali Moghiseh, Christine Oetjen, Joachim Ohser, Katja Schladitz

CoRR, 2022

2021

Deep learning for image based shelve inventories.

Oliver Müller, Chiara Fend, Ali Moghiseh, Katja Schladitz, Henrike Stephani, Thomas Weibel

Proceedings of the 10th International Symposium on Signal, Image, Video and Communications, 2021

2020

Local Fiber Orientation from X-ray Region-of-Interest Computed Tomography of large Fiber Reinforced Composite Components.

Thomas Baranowski, Dascha Dobrovolskij, Kilian Dremel, Astrid Hölzing, Günter Lohfink, Katja Schladitz, Simon Zabler

CoRR, 2020

2019

Efficient 3D Erosion Dilation Analysis by Sub-Pixel EDT.

Michael Godehardt, Dennis Mosbach, Diego Roldan, Katja Schladitz

Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2019

Detecting Branching Nodes of Multiply Connected 3D Structures.

Xiaoyin Cheng, Sonja Föhst, Claudia Redenbach, Katja Schladitz

Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2019

2017

Variational-based segmentation of bio-pores in tomographic images.

Benjamin Bauer, Xiaohao Cai, Stephan Peth, Katja Schladitz, Gabriele Steidl

Comput. Geosci., 2017

Segmentation of Collagen Fiber Bundles in 3D by Waterfall on Orientations.

Michael Godehardt, Katja Schladitz, Sascha Dietrich, Renate Meyndt, Haiko Schulz

Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2017

2015

Fast Estimation of Intrinsic Volumes in 3D Gray Value Images.

Michael Godehardt, Andreas Jablonski, Oliver Wirjadi, Katja Schladitz

Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2015

2007

Fiber Orientation Estimation from 3D Image Data: Practical Algorithms, Visualization, and Interpretation.

Katharina Robb, Oliver Wirjadi, Katja Schladitz

Proceedings of the 7th International Conference on Hybrid Intelligent Systems, 2007

2006

Measuring Intrinsic Volumes in Digital 3d Images.

Katja Schladitz, Joachim Ohser, Werner Nagel

Proceedings of the Discrete Geometry for Computer Imagery, 13th International Conference, 2006

2005

Volumetric Analysis of a Sinter Process in Time.

Oliver Wirjadi, Andreas Jablonski, Katja Schladitz, Michael Nöthe

Proceedings of the Pattern Recognition, 27th DAGM Symposium, Vienna, Austria, August 31, 2005