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Semi-supervised Large-scale Fiber Detection in Material Images with Synthetic Data
Accurate detection of large-scale, elliptical-shape fibers, including their parameters of center, orientation and major/minor axes, on the 2D cross-sectioned image slices is very important for characterizing the underlying cylinder 3D structures in microscopic material images.
Unsupervised Learning for Large-Scale Fiber Detection and Tracking in Microscopic Material Images
Constructing 3D structures from serial section data is a long standing problem in microscopy.
Groupwise Tracking of Crowded Similar-Appearance Targets From Low-Continuity Image Sequences
In particular, the within-group association is modeled by a nonrigid 2D Thin-Plate transform and a sequence of group shrinking, group growing and group merging operations are then developed to refine the composition of each group.
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