DocumentCode :
3205478
Title :
Morphological structuring function decomposition
Author :
Zhuang, Xinhua
Author_Institution :
Dept. of Electr. & Comput. Eng., Missouri Univ., Columbia, MO, USA
fYear :
1992
fDate :
15-18 Jun 1992
Firstpage :
566
Lastpage :
571
Abstract :
The author attempts to solve the structuring function decomposition problem where the structuring function refers to the gray scale structuring element. A morphologically realizable representation for the structuring function that reduces the structuring function decomposition into a series of binary structuring element decompositions is presented. Recursive algorithms that are pipelinable for efficiently performing gray scale morphological operations are developed on the basis of proposed representation and decomposition. The results are beneficial to real-time image analysis in terms of computer architecture and software development
Keywords :
computer vision; image processing; mathematical morphology; binary structuring element decompositions; computer architecture; decomposition; gray scale structuring element; morphological structuring function decomposition; morphologically realizable representation; real-time image analysis; recursive algorithms; software development; Computer architecture; Gray-scale; Hardware; Image analysis; Image sequence analysis; Machine vision; Morphological operations; Morphology; Pipeline processing; Pixel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92., 1992 IEEE Computer Society Conference on
Conference_Location :
Champaign, IL
ISSN :
1063-6919
Print_ISBN :
0-8186-2855-3
Type :
conf
DOI :
10.1109/CVPR.1992.223134
Filename :
223134
Link To Document :
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