Applied Graph Theory in Computer Vision and Pattern Recognition (häftad)
Format
Häftad (Paperback / softback)
Språk
Engelska
Antal sidor
266
Utgivningsdatum
2010-11-02
Upplaga
Softcover reprint of hardcover 1st ed. 2007
Förlag
Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Medarbetare
Kandel, Abraham (ed.), Last, Mark (ed.), Bunke, Horst (ed.)
Illustrationer
17 Tables, black and white; X, 266 p.
Dimensioner
234 x 156 x 15 mm
Vikt
390 g
Antal komponenter
1
Komponenter
1 Paperback / softback
ISBN
9783642087646
Applied Graph Theory in Computer Vision and Pattern Recognition (häftad)

Applied Graph Theory in Computer Vision and Pattern Recognition

Häftad Engelska, 2010-11-02
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This book presents novel graph-theoretic methods for complex computer vision and pattern recognition tasks. It presents the application of graph theory to low-level processing of digital images, presents graph-theoretic learning algorithms for high-level computer vision and pattern recognition applications, and provides detailed descriptions of several applications of graph-based methods to real-world pattern recognition tasks.
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Innehållsförteckning

Applied Graph Theory for Low Level Image Processing and Segmentation.- Multiresolution Image Segmentations in Graph Pyramids.- A Graphical Model Framework for Image Segmentation.- Digital Topologies on Graphs.- Graph Similarity, Matching, and Learning for High Level Computer Vision and Pattern Recognition.- How and Why Pattern Recognition and Computer Vision Applications Use Graphs.- Efficient Algorithms on Trees and Graphs with Unique Node Labels.- A Generic Graph Distance Measure Based on Multivalent Matchings.- Learning from Supervised Graphs.- Special Applications.- Graph-Based and Structural Methods for Fingerprint Classification.- Graph Sequence Visualisation and its Application to Computer Network Monitoring and Abnormal Event Detection.- Clustering of Web Documents Using Graph Representations.