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Proceedings Paper

New fast implementation of cellular array for morphological filters, stack filters, and median filters
Author(s): Long-Wen Chang; Wen-Shen Fong; Shang-Shung Yu
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Paper Abstract

Cellular array are very important and very suitable in image processing. The local neighborhood operations can be implemented in the cellular array to increase their speed. Recently, the morphological filters and stack filters received much attention. They are very appropriate to be implemented in the cellular array. In this paper, we use a very powerful method called threshold decomposition to implement these filters in the cellular array. Threshold decomposition provides a very powerful method to transform gray filtering into binary filtering. The filters include median, order-statistic (OS), and morphological filters. Filtering of an M-level image by threshold decomposition requires three stages: (1) thresholding, (2) binary filtering, and (3) reconstruction. To increase the performance of the processing element in the array, a fast reconstructor with (2M-2-Log2M) half adders was developed.

Paper Details

Date Published: 12 January 1993
PDF: 12 pages
Proc. SPIE 1771, Applications of Digital Image Processing XV, (12 January 1993); doi: 10.1117/12.139076
Show Author Affiliations
Long-Wen Chang, National Tsing Hua Univ. (Taiwan)
Wen-Shen Fong, National Tsing Hua Univ. (Taiwan)
Shang-Shung Yu, National Tsing Hua Univ. (Taiwan)


Published in SPIE Proceedings Vol. 1771:
Applications of Digital Image Processing XV
Andrew G. Tescher, Editor(s)

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