Foundations of image understanding
著者
書誌事項
Foundations of image understanding
(The Kluwer international series in engineering and computer science, SECS 628)
Kluwer Academic Publishers, c2001
大学図書館所蔵 全16件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliographical references and index
内容説明・目次
内容説明
Computer systems that analyze images are critical to a wide variety of applications such as visual inspections systems for various manufacturing processes, remote sensing of the environment from space-borne imaging platforms, and automatic diagnosis from X-rays and other medical imaging sources. Professor Azriel Rosenfeld, the founder of the field of digital image analysis, made fundamental contributions to a wide variety of problems in image processing, pattern recognition and computer vision. Professor Rosenfeld's previous students, postdoctoral scientists, and colleagues illustrate in Foundations of Image Understanding how current research has been influenced by his work as the leading researcher in the area of image analysis for over two decades.
Each chapter of Foundations of Image Understanding is written by one of the world's leading experts in his area of specialization, examining digital geometry and topology (early research which laid the foundations for many industrial machine vision systems), edge detection and segmentation (fundamental to systems that analyze complex images of our three-dimensional world), multi-resolution and variable resolution representations for images and maps, parallel algorithms and systems for image analysis, and the importance of human psychophysical studies of vision to the design of computer vision systems. Professor Rosenfeld's chapter briefly discusses topics not covered in the contributed chapters, providing a personal, historical perspective on the development of the field of image understanding.
Foundations of Image Understanding is an excellent source of basic material for both graduate students entering the field and established researchers who require a compact source for many of the foundational topics in image analysis.
目次
- Preface. Contributing Authors. 1. Summation
- A. Rosenfeld. 2. Digital Geometry - The Birth of a New Discipline
- R. Klette. 3. Digital Topology
- T.Y. Kong. 4. Fuzzy Mathematics
- J.N. Mordeson. 5. Picture Languages
- A. Nakamura. 6. Parallel Image Processing
- A.Y. Wu. 7. Object Representations
- H. Samet. 8. Texture Classification and Segmentation
- R. Chellappa, B.S. Manjunath. 9. Edge Measures Using Similarity Regions
- M.K. Singh, N. Ahuja. 10. Relaxation Labeling: 25 Years and Still Iterating
- S.W. Zucker. 11. From a Robust Hierarchy to a Hierarchy of Robustness
- P. Meer. 12. A Pyramid Framework for Real-Time Computer Vision
- P.J. Burt. 13. On the Computational Modeling of Human Vision
- J. Beck. 14. Statistics Explains Geometrical Optical Illusions
- C. Fermuller, Y. Aloimonos. 15. Optics for OmniStereo Imaging
- Y. Pritch, et al. 16. Volumetric Scene Reconstruction from Multiple Views
- C.R. Dyer. Index.
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