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Proceedings Paper

An Object-Pass Filter For Image Processing
Author(s): J. Steven Mott; James A. Roskind
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Paper Abstract

An object-pass filter for image processing is defined as a filter that passes or enhances objects in an image that are larger than a minimum threshold and smaller than a maximum threshold. Objects outside the pass band, i.e. too large or too small, are suppressed by replacing the pixel gray scale level with zero. An object-pass filter that is realizable in today's technology is presented. It is shown that an object-pass filter can be realized with cascaded sort-selection filters, which select the Nth largest element in a neighborhood of elements. The object-pass filter's pass region can be determined by selecting the appropriate sort-selection filter window sizes. Due to recent advances in sort-selection filter architectures and VHSIC level technology, such an object-pass filter can be built using three of the recently developed Harris custom VHSIC Phase I level chips. Such a configuration can process imagery at a rate of better than 10 Mpixels/second. Simulation results are shown for object-pass filtering on binary images and also on several forward looking infrared images.

Paper Details

Date Published: 19 December 1985
PDF: 7 pages
Proc. SPIE 0575, Applications of Digital Image Processing VIII, (19 December 1985); doi: 10.1117/12.966492
Show Author Affiliations
J. Steven Mott, Harris Corporation (United States)
James A. Roskind, Harris Corporation (United States)

Published in SPIE Proceedings Vol. 0575:
Applications of Digital Image Processing VIII
Andrew G. Tescher, Editor(s)

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