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Image processing and analysis with graphs theory and practice

Lžoray, Olivier.

Image processing and analysis with graphs theory and practice

Lžoray, Olivier.

9781439855089

Boca Raton, Fla. : CRC Press, 2012.

xxiv, 537 p., [4] p. of plates : ill. (some col.), ports.

Digital imaging and computer vision series

1. Graph theory concepts and definitions used in image processing and analysis / Olivier Lžoray and Leo Grady -- 2. Graph cuts : combinatorial optimization in vision / Hiroshi Ishikawa -- 3. Higher-order models in computer vision / Pushmeet Kohli and Carsten Rother -- 4. A parametric maximum flow approach for discrete total variation regularization / Antonin Chambolle and Jřm̥e Darbon -- 5. Targeted image segmentation using graph methods / Leo Grady -- 6. A short tour of mathematical morphology on edge and vertex weighted graphs / Laurent Najman and Fernand Meyer -- 7. Partial difference equations on graphs for local and nonlocal image processing / Abderrahim Elmoataz ... [et al.] -- 8. Image denoising with nonlocal spectral graph wavelets / David K. Hammond, Laurent Jacques, and Pierre Vandergheynst -- 9. Image and video matting / Jue Wang -- 10. Optimal simultaneous multisurface and multiobject image segmentation / Xiaodong Wu, Mona K. Garvin, and Milan Sonka -- 11. Hierarchical graph encodings / Luc Brun and Walter Kropatsch -- 12. Graph-based dimensionality reduction / John A. Lee and Michel Verleysen -- 13. Graph edit distance : theory, algorithms, and applications / Miquel Ferrer and Horst Bunke -- 14. The role of graphs in matching shapes and in categorization / Benjamin Kimia -- 15. 3D shape registration using spectral graph embedding and probabilistic matching / Avinash Sharma, Radu Horaud, and Diana Mateus -- 16. Modeling images with undirected graphical models / Marshall F. Tappen -- 17. Tree-walk kernels for computer vision / Zaid Harchaoui and Francis Bach.

"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"-- Provided by publisher.

Computer vision -- Mathematics.

Image processing -- Digital techniques.

Graph theory.

Lžoray, Olivier.

Grady, Leo.

Distributed by publisher. Purchase or institutional license may be required for access.