DocumentCode :
2575659
Title :
An algebraic approach for developing vision systems
Author :
Bhattacharya, Prabir ; Qian, Kai
Author_Institution :
Dept. of Comput. Sci. & Eng., Nebraska Univ., Lincoln, NE, USA
fYear :
1991
fDate :
13-16 Oct 1991
Firstpage :
35
Abstract :
By using polynomials in three variables to represent three-dimensional (3-D) objects, surface determination, shape decomposition and template matching algorithms have been developed for image understanding. It is shown that all the morphological operations on the images are described in terms of certain algebraic operations on the polynomial representation. All the algorithms have linear time complexity
Keywords :
algebra; computational complexity; computer vision; computerised pattern recognition; polynomials; 3D object representation; algebraic operations; computer vision; image understanding; linear time complexity; morphological operations; pattern recognition; polynomial representation; shape decomposition; surface determination; template matching; Algebra; Computer science; Image recognition; Machine vision; Morphological operations; Polynomials; Shape; Solids; Surface morphology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics, 1991. 'Decision Aiding for Complex Systems, Conference Proceedings., 1991 IEEE International Conference on
Conference_Location :
Charlottesville, VA
Print_ISBN :
0-7803-0233-8
Type :
conf
DOI :
10.1109/ICSMC.1991.169657
Filename :
169657
Link To Document :
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