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)

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商品描述

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.

商品描述(中文翻譯)

《圖像處理與分析的圖論理論與實踐》涵蓋了圖論在物體表示和分析中的理論方面,同時展示了這些概念在設計實際應用解決方案中的不可或缺性。

本書還探討了計算攝影、圖像和視頻處理、計算機圖形學、識別、醫學和生物醫學成像等領域的新應用。

隨著圖像生產的爆炸性增長,從數碼照片到醫學掃描,基於數碼圖像的應用也急劇增加。本書探討了為什麼圖論是表示、處理和分析圖像的完美統一工具,並解釋了為什麼圖論是定義圖論算法的理想選擇,這些算法使得能夠利用組合優化的豐富文獻來產生高效的解決方案。

本書涵蓋了一些重要主題,包括:

- 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

圖論在計算機科學中具有很大的影響力,並在去噪、增強、恢復和對象提取等領域中產生了許多應用。本書是由知名專家撰寫的章節貢獻集,涵蓋了圖論在圖像處理和計算機視覺中解決各種問題的廣泛應用。這本最新綜述提供了實際應用的案例,以說明理論算法的實際應用。它不僅適用於圖像處理和計算機視覺的研究生課程,也是從事圖像處理和分析算法開發和實施的工程師的完美參考資料。