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A Graph Multi-separator Problem for Image Segmentation
by
Zhao, Shengxian
, Presberger, Jannik
, Andres, Bjoern
, Irmai, Jannik
, Schöne, Mark
in
Accuracy
/ Algorithms
/ Applications of Mathematics
/ Combinatorial analysis
/ Computer Science
/ Costs
/ Filaments
/ Graphs
/ Image Processing and Computer Vision
/ Image segmentation
/ Mathematical Methods in Physics
/ Pixels
/ Search algorithms
/ Separators
/ Signal,Image and Speech Processing
/ Watersheds
2024
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A Graph Multi-separator Problem for Image Segmentation
by
Zhao, Shengxian
, Presberger, Jannik
, Andres, Bjoern
, Irmai, Jannik
, Schöne, Mark
in
Accuracy
/ Algorithms
/ Applications of Mathematics
/ Combinatorial analysis
/ Computer Science
/ Costs
/ Filaments
/ Graphs
/ Image Processing and Computer Vision
/ Image segmentation
/ Mathematical Methods in Physics
/ Pixels
/ Search algorithms
/ Separators
/ Signal,Image and Speech Processing
/ Watersheds
2024
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Do you wish to request the book?
A Graph Multi-separator Problem for Image Segmentation
by
Zhao, Shengxian
, Presberger, Jannik
, Andres, Bjoern
, Irmai, Jannik
, Schöne, Mark
in
Accuracy
/ Algorithms
/ Applications of Mathematics
/ Combinatorial analysis
/ Computer Science
/ Costs
/ Filaments
/ Graphs
/ Image Processing and Computer Vision
/ Image segmentation
/ Mathematical Methods in Physics
/ Pixels
/ Search algorithms
/ Separators
/ Signal,Image and Speech Processing
/ Watersheds
2024
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Journal Article
A Graph Multi-separator Problem for Image Segmentation
2024
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Overview
We propose a novel abstraction of the image segmentation task in the form of a combinatorial optimization problem that we call the
multi-separator problem
. Feasible solutions indicate for every pixel whether it belongs to a segment or a segment separator, and indicate for pairs of pixels whether or not the pixels belong to the same segment. This is in contrast to the closely related lifted multicut problem, where every pixel is associated with a segment and no pixel explicitly represents a separating structure. While the multi-separator problem is
np
-hard, we identify two special cases for which it can be solved efficiently. Moreover, we define two local search algorithms for the general case and demonstrate their effectiveness in segmenting simulated volume images of foam cells and filaments.
Publisher
Springer US,Springer Nature B.V
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