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
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