This authoritative guide presents and explains numerous 3-D image processing, and 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 umportant topics. The material can be downloaded from an ftp site

Based on the author's 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.

1. Troduction
2. Volume Filtering
3. 3-D Discrete Fourier Transform and Its Applications
4. Topological and Geometrical Features of 3-D Objects
5. Region Segmentation and Edge Detection
6. 3-D Skeletonization and Registration
7. Visualization
8. Eikona3D: A 3-D Image Processing Package