3–D Image Processing Algorithms

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.

Spis treści:
Volume Filtering.
3–D Discrete Fourier Transform and Its Applications.
Topological and Geometrical Features of 3–D Objects.
Region Segmentation and Edge Detection.
3–D Skeletonization and Registration.
Visualization.
EIKONA3D: A 3–D Image Processing Package.
Index.

No ta biograficzna:
NIKOS NIKOLAIDIS, PhD, is a senior researcher in the Artificial Intelligence and Information Analysis Laboratory, Department of Informatics, Aristotle University of Thessaloniki, Greece. IOANNIS PITAS, PhD, is a professor in the Department of Informatics, Aristotle University of Thessaloniki, Greece.

Okładka tylna:
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 programm ers.