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.
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Topological and Geometrical Features of 3D Objects
Region Segmentation and Edge Detection
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3-D data 3-D image processing 3-D object 3-D region 3-D visualization 3-D volume assigned background border voxels color column computational connected components contours coordinates frame,row corresponding cube data set Delaunay triangulation deletion Digital topology distance transform edge detection EIKONA3D end coordinates frame,row,column Euler number evaluation Figure foreground Fourier transform frame function gradient grayscale histogram IEEE Trans image sequence L1,N1,M1 implementation input image sequence int Ll,int Nl,int interpolation Ll,int Nl,int Ml,int mathematical morphology matmeiml matmerel maximum median filter menu merge method Ml,int L2.int N2.int module nc++ nearest neighbor interpolation neighboring nf++ Nl,int Ml,int L2.int noise nr++ object surface octants octree opacity output image sequence Parameters performed pixel procedure projection rotation routine segmentation skeleton slice Subroutine surface normal surface voxel techniques threshold topological triangulation vector view plane Visible Human Project volume rendering Voronoi Voronoi tessellation voxel voxel intensity z-buffer
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