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Proceedings Paper

Threshold Parallelism In Morphological Feature Extraction, Skeletonization, And Pattern Spectrum
Author(s): Petros Maragos; Robert D. Ziff
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Paper Abstract

In this paper it is shown that many composite morphological systems, such as morphological edge detection, peak/valley extraction, skeletonization, and shape-size distributions obey a weak linear super-position, called threshold-linear superposition: Namely, the output graytone image is the sum of outputs due to input binary images, which result from thresholding the input graytone image at all levels. Then these results are generalized to a vector space formulation, e.g., to any linear combination of simple morphological systems such as erosion, dilation, rank-order filters, and their cascade or max/min combinations. Thus many such systems processing graytone images are reduced to corresponding binary image processing systems, which are easier to analyze and implement.

Paper Details

Date Published: 25 October 1988
PDF: 10 pages
Proc. SPIE 1001, Visual Communications and Image Processing '88: Third in a Series, (25 October 1988); doi: 10.1117/12.968943
Show Author Affiliations
Petros Maragos, Harvard University (United States)
Robert D. Ziff, Harvard University (United States)


Published in SPIE Proceedings Vol. 1001:
Visual Communications and Image Processing '88: Third in a Series
T. Russell Hsing, Editor(s)

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