E-Book, Englisch, Band 628, 492 Seiten, eBook
Reihe: The Springer International Series in Engineering and Computer Science
Davis Foundations of Image Understanding
2001
ISBN: 978-1-4615-1529-6
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark
E-Book, Englisch, Band 628, 492 Seiten, eBook
Reihe: The Springer International Series in Engineering and Computer Science
ISBN: 978-1-4615-1529-6
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark
Each chapter of 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.
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.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
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. Fermüller, Y. Aloimonos. 15. Optics for OmniStereo Imaging; Y. Pritch, et al. 16. Volumetric Scene Reconstruction from Multiple Views; C.R. Dyer. Index.




