''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 image processing, and the representation and analysis of objects on graphs, graph-based image analysis. Each chapter provides a comprehensive review on a specific topic, which ranges from research challenges to industry trends, and provides numerous examples to illustrate how the proposed methods can be used in practice. A companion website is available''-- Read more...
Content: 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 matting --
10. 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.
Abstract: ''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 image processing, and the representation and analysis of objects on graphs, graph-based image analysis. Each chapter provides a comprehensive review on a specific topic, which ranges from research challenges to industry trends, and provides numerous examples to illustrate how the proposed methods can be used in practice. A companion website is available''
