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Proceedings Paper

Nonlinear filtering technique for the extraction of quasi-linear features from images
Author(s): Robert E. Hall
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Paper Abstract

A nonlinear filtering technique is developed for the extraction of quasi-linear features from images. The technique begins with a line segment image transform, which is a windowed version of the radon transform. The original image is divided into overlapped subimages using a simple analysis filter, and a radon transform is applied to each subimage, yielding a representation of the subimage in terms of line segments at varying angles and positions. The amplitude of each line segment is used to calculate the detection statistic for that line segment. A nonlinear filter is used to pass line segments whose detection statistics are above a specified threshold (it is shown that a threshold is an optimal Bayes estimate when the signal is intermittent). The filtered subimage is then reconstructed.

Paper Details

Date Published: 21 May 1993
PDF: 7 pages
Proc. SPIE 1902, Nonlinear Image Processing IV, (21 May 1993); doi: 10.1117/12.144755
Show Author Affiliations
Robert E. Hall, Science Applications International Corp. (United States)

Published in SPIE Proceedings Vol. 1902:
Nonlinear Image Processing IV
Edward R. Dougherty; Jaakko T. Astola; Harold G. Longbotham, Editor(s)

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