DocumentCode
1472716
Title
Structuring element decomposition for efficient implementation of morphological filters
Author
Park, H. ; Yoo, J.
Author_Institution
Dept. of Electron. Eng., Kwangwoon Univ., Seoul, South Korea
Volume
148
Issue
1
fYear
2001
fDate
2/1/2001 12:00:00 AM
Firstpage
31
Lastpage
35
Abstract
In order to implement morphological filters on image processing systems. The size of the structuring element must be small due to the architectural constraints of the systems. The decomposition of the structuring element is required for filters with large structuring elements. An algorithm for the decomposition of an arbitrary 4-connected binary structuring element is developed which enables sub-optimal implementation of binary morphological filters on a 3×3 pipeline machine. The given structuring element is first decomposed into the union of elements using a sequential search procedure, then each element is further decomposed optimally into 3×3 elements, resulting in final sub-optimal 3×3 hybrid decomposition. The proposed algorithm is applied to some structuring elements and results close to the optimum are obtained
Keywords
filtering theory; image processing; mathematical morphology; pipeline processing; search problems; 4-connected binary structuring element; architectural constraints; binary morphological filters; hybrid decomposition; image processing systems; pipeline machine; sequential search procedure; structuring element decomposition; sub-optimal implementation;
fLanguage
English
Journal_Title
Vision, Image and Signal Processing, IEE Proceedings -
Publisher
iet
ISSN
1350-245X
Type
jour
DOI
10.1049/ip-vis:20010240
Filename
918400
Link To Document