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Graph Spectral Image Segmentation
Michael Ng
*
*
Corresponding author for this work
Department of Mathematics
Research output
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Chapter in book/report/conference proceeding
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Chapter
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peer-review
Overview
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Dive into the research topics of 'Graph Spectral Image Segmentation'. Together they form a unique fingerprint.
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Keyphrases
Image Segmentation
100%
Graph Spectral
100%
Spectral Image
100%
Medical Imaging
33%
Segmentation Problem
16%
Computer Vision
16%
Image Processing Applications
16%
Imaging Sciences
16%
Graph Representation
16%
Multiple Classes
16%
Optimization Model
16%
Constrained Optimization
16%
Image Segmentation Method
16%
Morphological Processing
16%
Threshold Method
16%
Computer Graphics
16%
Edge-based
16%
Region-based
16%
Cost Function
16%
Processing Techniques
16%
Mumford-Shah Model
16%
Segmentation Model
16%
Interesting Images
16%
Foreground Segmentation
16%
Single Image
16%
Multiclass Models
16%
Region Energy
16%
Energy-based Approach
16%
Two-class Model
16%
Video Tracking
16%
Multiple Segments
16%
Imaging Recognition
16%
Boundary Term
16%
Engineering
Segmentation Method
100%
Image Processing
100%
Computervision
100%
Computer Graphic
100%
Single Image
100%
Cost Function
100%
Processing Technique
100%
Computer Science
Image Segmentation
100%
Spectral Image
100%
Medical Imaging
28%
Computer Vision
14%
Constrained Optimization
14%
Image Processing
14%
Computer Graphic
14%
Segmentation Method
14%
Segmentation Model
14%