Applied Graph Theory in Computer Vision and Pattern Recognition
This book will serve as a foundation for a variety of useful applications of graph theory to computer vision, pattern recognition, and related areas. It covers a representative set of novel graph-theoretic methods for complex computer vision and pattern recognition tasks. The first part of the book...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| مؤلفون آخرون: | , , |
| التنسيق: | Livre numérique |
| اللغة: | Anglais |
| منشور في: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| الطبعة: | 1st ed. 2007. |
| سلاسل: | Studies in Computational Intelligence
52 |
| الوصول للمادة أونلاين: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| ملاحظة: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Applied Graph Theory in Computer Vision and Pattern Recognition, Texte imprimé, 9783540680192 • Applied Graph Theory in Computer Vision and Pattern Recognition, Texte imprimé, 9783642087646 • Applied Graph Theory in Computer Vision and Pattern Recognition, Texte imprimé, 9783540833697 • Applied Graph Theory in Computer Vision and Pattern Recognition, Texte imprimé, 9783540680192 |
جدول المحتويات:
- 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