Image Processing and Analysis with Graphs: Theory and Practice (Digital Imaging and Computer Vision)

ISBN: 1439855072

Category: Arts


Posted on 2013-10-24. By anonymous.

Description


Image Processing and Analysis with Graphs: Theory and Practice (Digital Imaging and Computer Vision) by Olivier Lezoray and Leo Grady
English | 2012 | ISBN: 1439855072 | 562 pages | PDF | 28,3 MB

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.

>>Visit my blog for more eBooks<< | And also can connect to RSS



Sponsored High Speed Downloads
5413 dl's @ 2648 KB/s
Download Now [Full Version]
8975 dl's @ 2211 KB/s
Download Link 1 - Fast Download
9636 dl's @ 3663 KB/s
Download Mirror - Direct Download



Search More...
Image Processing and Analysis with Graphs: Theory and Practice (Digital Imaging and Computer Vision)

Search free ebooks in ebookee.com!


Links
Download this book

No active download links here?
Please check the description for download links if any or do a search to find alternative books.


Related Books

  1. Ebooks list page : 23549
  2. 2021-02-04Image Processing And Computer Vision With Python & Opencv
  3. 2020-10-17Image Processing and Computer Vision with Python & OpenCV
  4. 2020-10-06Image Processing and Computer Vision with Python & OpenCV
  5. 2017-10-17[PDF] Vision with Direction: A Systematic Introduction to Image Processing and Computer Vision - Removed
  6. 2013-04-24Vision with Direction: A Systematic Introduction to Image Processing and Computer Vision (Repost)
  7. 2011-07-19Vision with Direction: A Systematic Introduction to Image Processing and Computer Vision
  8. 2011-01-29Vision with Direction: A Systematic Introduction to Image Processing and Computer Vision (Repost)
  9. 2010-04-02Vision with Direction: A Systematic Introduction to Image Processing and Computer Vision {Repost}
  10. 2010-01-29Vision with Direction: A Systematic Introduction to Image Processing and Computer Vision
  11. 2009-12-26Vision with Direction: A Systematic Introduction to Image Processing and Computer Vision
  12. 2007-07-07Vision with Direction: A Systematic Introduction to Image Processing and Computer Vision - Removed
  13. 2022-06-24Complete Python Based Image Processing and Computer Vision
  14. 2022-01-05Complete Python Based Image Processing and Computer Vision
  15. 2020-09-23Complete Python Based Image Processing And Computer Vision
  16. 2020-08-21Complete Python Based Image Processing and Computer Vision
  17. 2020-05-30Handbook of Image Processing and Computer Vision Volume 1 From Energy to Image
  18. 2018-04-19Nonlinear Eigenproblems in Image Processing and Computer Vision - Removed
  19. 2017-12-26[PDF] Algorithms for Image Processing and Computer Vision
  20. 2017-01-04Algorithms for Image Processing and Computer Vision, 2nd Edition
  21. 2017-01-04Algorithms for Image Processing and Computer Vision, 2nd Edition

Comments

No comments for "Image Processing and Analysis with Graphs: Theory and Practice (Digital Imaging and Computer Vision)".


    Add Your Comments
    1. Download links and password may be in the description section, read description carefully!
    2. Do a search to find mirrors if no download links or dead links.
    Back to Top