Graph Based Representations in Pattern Recognition

✍ Scribed by Ch. Demko (auth.), Univ.-Prof. Dr. Jean-Michel Jolion, Univ.-Prof. Dr. Walter G. Kropatsch (eds.)

Publisher: Springer-Verlag Wien
Year: 1998
Tongue: English
Leaves: 148
Series: Computing Supplement 12
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Graph-based representation of images is becoming a popular tool since it represents in a compact way the structure of a scene to be analyzed and allows for an easy manipulation of sub-parts or of relationships between parts. Therefore, it is widely used to control the different levels from segmentation to interpretation. The 14 papers in this volume are grouped in the following subject areas: hypergraphs, recognition and detection, matching, segmentation, implementation problems, representation.

✦ Table of Contents

Front Matter....Pages i-vii
Generalization of Two Hypergraphs. Algorithm of Calculation of the Greatest Sub-Hypergraph Common to Two Hypergraphs Annotated by Semantic Information....Pages 1-9
Recognition of Polymorphic Patterns in Parameterized Graphs for 3D Building Reconstruction....Pages 11-20
A Graph-Based Representation to Detect Linear Features....Pages 21-31
Edge Detection as Finding the Minimum Cost Path in a Graph....Pages 33-41
Subgraph Transformations for the Inexact Matching of Attributed Relational Graphs....Pages 43-52
Efficient Graph Matching for Video Indexing....Pages 53-62
Isomorphism between Strong Fuzzy Relational Graphs Based on k -Formulae....Pages 63-71
A Graph Structure for Grey Value and Texture Segmentation....Pages 73-82
Discrete Maps: a Framework for Region Segmentation Algorithms....Pages 83-92
Image Sequence Segmentation by a Single Evolutionary Graph Pyramid....Pages 93-100
Dual Graph Contraction with LEDA....Pages 101-110
Implementing Image Analysis with a Graph-Based Parallel Computing Model....Pages 111-121
The Frontier-Region Graph....Pages 123-134
Optimization Techniques on Pixel Neighborhood Graphs for Image Processing....Pages 135-145
Back Matter....Pages 147-151

✦ Subjects

Pattern Recognition; Image Processing and Computer Vision; Data Storage Representation; Algorithm Analysis and Problem Complexity

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