Image Processing and Analysis with Graphs: Theory and Practice (Hardcover)

Olivier L膾oray, Leo Grady

  • 出版商: CRC
  • 出版日期: 2012-07-03
  • 售價: $4,280
  • 貴賓價: 9.5$4,066
  • 語言: 英文
  • 頁數: 570
  • 裝訂: Hardcover
  • ISBN: 1439855072
  • ISBN-13: 9781439855072
  • 相關分類: Computer Vision
  • 立即出貨 (庫存 < 4)



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.






- 定義圖論算法,實現去噪和圖像增強
- 利用圖割和馬爾可夫隨機場對像素標記問題進行能量最小化和建模
- 利用圖進行圖像處理:有針對性的分割、偏微分方程、數學形態學和小波
- 利用圖匹配分析對象之間的相似性
- 適應和應用圖論算法於計算攝影、計算機視覺以及醫學和生物醫學成像等特定圖像應用