Segmentation-based object categorization

The image segmentation problem is concerned with partitioning an image into multiple regions according to some homogeneity criterion. This article is primarily concerned with graph theoretic approaches to image segmentation applying graph partitioning via minimum cut or maximum cut. Segmentation-based object categorization can be viewed as a specific case of spectral clustering applied to image segmentation.

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enThe image segmentation problem is concerned with partitioning an image into multiple regions according to some homogeneity criterion. This article is primarily concerned with graph theoretic approaches to image segmentation applying graph partitioning via minimum cut or maximum cut. Segmentation-based object categorization can be viewed as a specific case of spectral clustering applied to image segmentation.
Has abstract
enThe image segmentation problem is concerned with partitioning an image into multiple regions according to some homogeneity criterion. This article is primarily concerned with graph theoretic approaches to image segmentation applying graph partitioning via minimum cut or maximum cut. Segmentation-based object categorization can be viewed as a specific case of spectral clustering applied to image segmentation.
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Segmentation-based object categorization
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enSegmentation-based object categorization
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Category:Image segmentation
Category:Object recognition and categorization
Eigenvalue
Graph Laplacian
Graph partitioning
Ill-conditioned
Image segmentation
Lanczos algorithm
Layered pictorial structure
LOBPCG
Matrix-free methods
Max-flow min-cut theorem
Maximum cut
Minimum cut
Minimum spanning tree-based segmentation
Multigrid method
NP-hard
Preconditioner
QR algorithm
Scikit-learn
SciPy
Spectral clustering
Spectral graph theory
SameAs
4v7H6
m.03gsz40
Q7446278
Subject
Category:Image segmentation
Category:Object recognition and categorization
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