Voxel data analysis – development of algorithms for segmentation and crack detection of computed tomography data (D03)

• Subject Area: Geodesy, Photogrammetry, Remote Sensing, Geoinformatics, Cartography ; Coating and Surface Technology
• Term: since 2020
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 417002380

In the project, algorithms are being developed for the automatic analysis of computed tomography data with the aim of determining material properties, recognizing the position and orientation of carbon reinforcements in the matrix, and detecting (micro-)cracks. Special challenges in voxel data segmentation arise due to the low density-differences of the investigated materials. Accordingly, powerful neural-network based voxel data segmentation methods are developed. An additional focus lies on the development of 4D methods for segmentation in time series of computed tomography data in dynamic experiments.

• DFG Programme: CRC/Transregios
• Subproject of: TRR 280: Design Strategies for Material-Minimised Carbon Reinforced Concrete Structures—Principles of a New Approach to Construction
• Applicant Institution: Technische Universität Dresden
• Project Heads: Professorin Dr. Anette Eltner, since 7/2024; Professor Dr. Hans-Gerd Maas