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Feature-Adaptive Interactive Thresholding of Large 3D Volumes
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-dimensional samples.
Geometric Active Learning for Segmentation of Large 3D Volumes
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.
Background Subtraction using Adaptive Singular Value Decomposition
An important task when processing sensor data is to distinguish relevant from irrelevant data.
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