6 papers · 1 filter
Synthetic Defect Geometries of Cast Metal Objects Modeled via 2d Voronoi Tessellations
Natascha Jeziorski, Petra GospodnetiÄ, Claudia Redenbach
In industry, defect detection is crucial for quality control. Non-destructive testing (NDT) methods are preferred as they do not influence the functionality of the object while ins…
Fitting Generalized Power Diagrams to 3D Image Data: A Prerequisite for Virtual Materials Testing
Andreas Alpers, Orkun Furat, Christian Jung +4
This paper reviews algorithmic and modeling approaches for fitting generalized power diagrams to three-dimensional image data, a key step in virtual materials testing (VMT). Beyond…
A Novel Distance-Based Metric for Quality Assessment in Image Segmentation
Niklas Rottmayer, Claudia Redenbach
The assessment of segmentation quality plays a fundamental role in the development, optimization, and comparison of segmentation methods which are used in a wide range of applicati…
Cracks in concrete
Tin Barisin, Christian Jung, Anna Nowacka +2
Finding and properly segmenting cracks in images of concrete is a challenging task. Cracks are thin and rough and being air filled do yield a very weak contrast in 3D images obtain…
Simulation of microstructures and machine learning
Katja Schladitz, Claudia Redenbach, Tin Barisin +5
Machine learning offers attractive solutions to challenging image processing tasks. Tedious development and parametrization of algorithmic solutions can be replaced by training a c…
SYNOSIS: Image synthesis pipeline for machine vision in metal surface inspection
Juraj Fulir, Natascha Jeziorski, Lovro Bosnar +6
The use of machine learning (ML) methods for development of robust and flexible visual inspection system has shown promising. However their performance is highly dependent on the a…