DocumentCode :
2552725
Title :
Algorithms for 2D and 3D image description based on the IAS
Author :
Cullip, Timothy J. ; Fredericksen, Robin E. ; Gauch, John M. ; Pizer, Stephen M.
Author_Institution :
North Carolina Univ., Chapel Hill, NC, USA
fYear :
1990
fDate :
22-25 May 1990
Firstpage :
102
Lastpage :
107
Abstract :
The algorithms used in computing the intensity axis of symmetry (IAS) for 2D and 3D medical images are described. The basic 2D algorithms, along with the algorithms needed to incorporate scale space, are described. A brief discussion of the extensions needed to work with 3D images is given. The basic approach is to treat the image as a deformable intensity surface which is contracted onto the IAS. The primitive regions of the segmentation are identified by the branches in the resulting tree-like structure. A hierarchy is produced by following the simplification of the branching through scale space. For comparison papers see ibid., p.94-101 and ibid., p.108-14
Keywords :
computerised picture processing; medical computing; 2D and 3D image description; CT image; IAS; IAS segmentation; MRI image; brain; branching; branching structures; chest; deformable intensity surface; image segmentation; intensity axis of symmetry; medical images; primitive regions; ridge structures; scale space; segmentation; Active contours; Biomedical imaging; Computer displays; Differential equations; Image segmentation; Skeleton; Surface fitting; Surface treatment; Three dimensional displays; Two dimensional displays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visualization in Biomedical Computing, 1990., Proceedings of the First Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
0-8186-2039-0
Type :
conf
DOI :
10.1109/VBC.1990.109308
Filename :
109308
Link To Document :
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