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cs.CV2023
Clustering large 3D volumes: A sampling-based approach
Thomas Lang
In many applications of X-ray computed tomography, an unsupervised segmentation of the reconstructed 3D volumes forms an important step in the image processing chain for further in…
cs.CV2022
Feature-Adaptive Interactive Thresholding of Large 3D Volumes
Thomas Lang, Tomas Sauer
Thresholding is the most widely used segmentation method in volumetric image processing, and its pointwise nature makes it attractive for the fast handling of large three-dimension…
cs.CV2022★ 3 cited
Geometric Active Learning for Segmentation of Large 3D Volumes
Thomas Lang, Tomas Sauer
Segmentation, i.e., the partitioning of volumetric data into components, is a crucial task in many image processing applications ever since such data could be generated. Most exist…