A survey of graph theoretical approaches to image segmentation

Keyphrases

• Image Segmentation 100%
• Graph Theoretic Approach 100%
• Graph Cuts 50%
• Probabilistic Rand Index 50%
• Automated Segmentation Methods 50%
• Cost Function 25%
• Computer Vision 25%
• Motivation 25%
• Shortest Path 25%
• Graph Theoretical 25%
• Quantitative Evaluation 25%
• Path-based 25%
• Boundary Displacement 25%
• Challenging Tasks 25%
• Indexes Variation 25%
• Good Characteristics 25%
• Technical Specification 25%
• Markov Random Field Model 25%
• Segmentation Scheme 25%
• Displacement Error 25%
• Tree-based Methods 25%
• Systematic Survey 25%
• Object of Interest 25%
• Sound Structure 25%
• Minimal Spanning Tree 25%
• Graph Functions 25%
• Meaningful Object 25%
• Global Consistency Error 25%
• Variation of Information 25%
• Image Element 25%

Engineering

• Graph Cut 100%
• Theoretical Method 50%
• Computervision 50%
• Fundamental Problem 50%
• Segmentation Method 50%
• Random Field Model 50%
• Quantitative Evaluation 50%
• Cost Function 50%
• Spanning Tree 50%

Computer Science

• Image Segmentation 100%
• Theoretical Approach 100%
• Graph Cut 50%
• Spanning Tree 25%
• Global Information 25%
• Sound Structure 25%
• Technical Description 25%
• markov random field model 25%
• Segmentation Method 25%
• Fundamental Problem 25%
• Quantitative Evaluation 25%
• Computer Vision 25%