Image processing and analysis with graphs theory and practice
The first book to serve as a comprehensive review of digital imaging and computer vision, this book begins with an introduction chapter to ease readers unfamiliar with concepts into following topics. The book is divided into two parts that focus on the processing of functions on graphs, graph-based...
| Otros Autores: | , |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Boca Raton, FL :
Taylor & Francis
2012.
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| Edición: | 1st edition |
| Colección: | Digital imaging and computer vision series.
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628531406719 |
Tabla de Contenidos:
- Front Cover; Dedication; Preface; The Editors; Contributors; Contents; 1. Graph theory concepts and definitions used in image processing and analysis; 2. Graph Cuts-Combinatorial Optimization in Vision; 3. Higher-Order Models in Computer Vision; 4. A Parametric Maximum Flow Approach for Discrete Total Variation Regularization; 5. Targeted Image Segmentation Using Graph Methods; 6. A Short Tour of Mathematical Morphology on Edge and Vertex Weighted Graphs; 7. Partial difference Equations on Graphs for Local and Nonlocal Image Processing; 8. Image Denoising with Nonlocal Spectral Graph Wavelets
- 9. Image and Video Matting10. Optimal Simultaneous Multisurface and Multiobject Image Segmentation; 11 Hierarchical Graph Encodings; 12 Graph-Based Dimensionality Reduction; 13. Graph Edit Distance-Theory, Algorithms, and Applications; 14 The Role of Graphs in Matching Shapes and in Categorization; 15. 3D Shape Registration Using Spectral Graph Embedding and Probabilistic Matching; 16. Modeling Images with Undirected Graphical Models; 17. Tree-Walk Kernels for Computer Vision
