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
fDate :
2/1/2001 12:00:00 AM
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;
Journal_Title :
Vision, Image and Signal Processing, IEE Proceedings -
DOI :
10.1049/ip-vis:20010240