A tiling procedure for second-order variational segmentation of large size remote sensing images
2016
Typical tiling approaches to segmentation of large images perform separated runs of a specific segmentation algorithm on tiles and then merge the results. However, specific post-processing is often required to remove possible artifacts on tiles junctions. In this paper, we aim at showing that a simple tiling strategy with partially overlapping tiles can be applied to a 2-nd order variational segmentation method based on the minimization of the Blake-Zisserman functional, in such a way that tile boundaries are coherent without any need of specific post-processing. Moreover, the energy minimization is performed on each tile with Dirichlet initial boundary conditions; thus, tiles are independent and the whole procedure is parallelizable with independent tiles.
Keywords:
- Image segmentation
- Parallelizable manifold
- Computer vision
- Energy minimization
- Artificial intelligence
- Remote sensing
- Segmentation-based object categorization
- Dirichlet distribution
- Segmentation
- Boundary value problem
- Mathematical optimization
- Scale-space segmentation
- Mathematics
- Computer science
- Minification
- Tile
- Correction
- Source
- Cite
- Save
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