Image Processing and Analysis with Graphs

Theory and Practice

Nonfiction, Computers, Advanced Computing, Theory, Science & Nature, Technology, Electricity, Application Software, Computer Graphics
Cover of the book Image Processing and Analysis with Graphs by , CRC Press
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9781351833172
Publisher: CRC Press Publication: July 12, 2017
Imprint: CRC Press Language: English
Author:
ISBN: 9781351833172
Publisher: CRC Press
Publication: July 12, 2017
Imprint: CRC Press
Language: English

Covering the theoretical aspects of image processing and analysis through the use of graphs in the representation and analysis of objects, Image Processing and Analysis with Graphs: Theory and Practice also demonstrates how these concepts are indispensible for the design of cutting-edge solutions for real-world applications.

Explores new applications in computational photography, image and video processing, computer graphics, recognition, medical and biomedical imaging

With the explosive growth in image production, in everything from digital photographs to medical scans, there has been a drastic increase in the number of applications based on digital images. This book explores how graphs—which are suitable to represent any discrete data by modeling neighborhood relationships—have emerged as the perfect unified tool to represent, process, and analyze images. It also explains why graphs are ideal for defining graph-theoretical algorithms that enable the processing of functions, making it possible to draw on the rich literature of combinatorial optimization to produce highly efficient solutions.

Some key subjects covered in the book include:

  • Definition of graph-theoretical algorithms that enable denoising and image enhancement
  • Energy minimization and modeling of pixel-labeling problems with graph cuts and Markov Random Fields
  • Image processing with graphs: targeted segmentation, partial differential equations, mathematical morphology, and wavelets
  • Analysis of the similarity between objects with graph matching
  • Adaptation and use of graph-theoretical algorithms for specific imaging applications in computational photography, computer vision, and medical and biomedical imaging

Use of graphs has become very influential in computer science and has led to many applications in denoising, enhancement, restoration, and object extraction. Accounting for the wide variety of problems being solved with graphs in image processing and computer vision, this book is a contributed volume of chapters written by renowned experts who address specific techniques or applications. This state-of-the-art overview provides application examples that illustrate practical application of theoretical algorithms. Useful as a support for graduate courses in image processing and computer vision, it is also perfect as a reference for practicing engineers working on development and implementation of image processing and analysis algorithms.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Covering the theoretical aspects of image processing and analysis through the use of graphs in the representation and analysis of objects, Image Processing and Analysis with Graphs: Theory and Practice also demonstrates how these concepts are indispensible for the design of cutting-edge solutions for real-world applications.

Explores new applications in computational photography, image and video processing, computer graphics, recognition, medical and biomedical imaging

With the explosive growth in image production, in everything from digital photographs to medical scans, there has been a drastic increase in the number of applications based on digital images. This book explores how graphs—which are suitable to represent any discrete data by modeling neighborhood relationships—have emerged as the perfect unified tool to represent, process, and analyze images. It also explains why graphs are ideal for defining graph-theoretical algorithms that enable the processing of functions, making it possible to draw on the rich literature of combinatorial optimization to produce highly efficient solutions.

Some key subjects covered in the book include:

Use of graphs has become very influential in computer science and has led to many applications in denoising, enhancement, restoration, and object extraction. Accounting for the wide variety of problems being solved with graphs in image processing and computer vision, this book is a contributed volume of chapters written by renowned experts who address specific techniques or applications. This state-of-the-art overview provides application examples that illustrate practical application of theoretical algorithms. Useful as a support for graduate courses in image processing and computer vision, it is also perfect as a reference for practicing engineers working on development and implementation of image processing and analysis algorithms.

More books from CRC Press

Cover of the book Chelates In Nutrition by
Cover of the book Handbook of Environmental Physiology of Fruit Crops by
Cover of the book Multimedia Communications and Networking by
Cover of the book Modern Digital Design and Switching Theory by
Cover of the book Sedimentation Velocity Analytical Ultracentrifugation by
Cover of the book Continuous Cultures of Cells by
Cover of the book First Responder's Guide to Agricultural Chemical Accidents by
Cover of the book Defect Recognition and Image Processing in Semiconductors 1997 by
Cover of the book Advanced Design and Implementation of Virtual Machines by
Cover of the book Mechanical Design of Machine Components by
Cover of the book Thermodynamics and Ecological Modelling by
Cover of the book Stochastic Partial Differential Equations and Applications by
Cover of the book OSCEs for the MRCS Part B by
Cover of the book Managing Project Competence by
Cover of the book Symmetrical Components for Power Systems Engineering by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy