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3-D Image Processing Algorithms
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Nikos Nikolaidis and Ioannis Pitas, both of the Univ. of Thessaloniki, Greece
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0471 37736 8November 2000
Hardback192pp
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Thorough, up-to-date, comprehensive coverage of 3-D image processing This authoritative guide presents and explains
numerous 3-D image processing, analysis, and visualization techniques, including volume filtering, interpolation,
3-D discrete Fourier transform, evaluation of topological and geometrical features, region segmentation and edge
detection, skeletonization and registration, and visualization. Necessary theoretical background is provided for
each topic, along with a number of algorithms, selected on the basis of their acceptance by the scientific
community.
The presentation of each technique includes a commented implementation, either in C code or in C-like pseudocode. Though
presented in an almost ready-to-run form, the C code is simplified to expose the structure of the processing algorithms,
rather than their programming details. This combination of theoretical treatment and C code implementation allows readers
to gain a thorough insight into these techniques.
Important features of 3-D Image Processing Algorithms include:
- A demo version of EIKONA 3D image processing software
- Lab exercises based on EIKONA 3D
- Accompanying transparencies summarizing the most important topics
- The material can be downloaded from an ftp site
Based on the authors' long experience in research and teaching of 2-D/3-D image processing, 3-D Image Processing
Algorithms is an indispensable resource for electrical, computer, and biomedical engineers, as well as computer
graphics professionals and programmers.
Contents:
- Volume Filtering.
- 3-D Discrete Fourier Transform.
- Topological and Geometrical Features.
- Region Segmentation and Edge Detection.
- 3-D Skeletonization and Registration.
- Visualization.
- EIKONA3D.
- References.
- Index.
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