Title :
Morphological structuring function decomposition
Author_Institution :
Dept. of Electr. & Comput. Eng., Missouri Univ., Columbia, MO, USA
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;
Conference_Titel :
Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92., 1992 IEEE Computer Society Conference on
Conference_Location :
Champaign, IL
Print_ISBN :
0-8186-2855-3
DOI :
10.1109/CVPR.1992.223134