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Proceedings Paper

Fast recognition of lines in digital images without user-supplied parameters
Author(s): Andreas Busch
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Paper Abstract

In this paper a method to detect lines in digital images is introduced. The model used to represent the shape of a line is a second order polynomial function of the row and column coordinates. Line positions are delivered with sub-pixel resolution. A threshold required by the method is estimated from the image data, so that the line detection runs off all-automatic without user-supplied control parameters. The robust estimate of the threshold is applicable to edge detection, too. Since directional information is a distinctive property of linear features, the model takes the line direction into account and makes use of it to classify line ends, to close line gaps, and to narrow lines which are wider than one pixel. Additionally, pixels are recognized where lines converge or cross. The performance of the method is shown using SPOT and TM data as examples.

Paper Details

Date Published: 17 August 1994
PDF: 7 pages
Proc. SPIE 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision, (17 August 1994); doi: 10.1117/12.182874
Show Author Affiliations
Andreas Busch, Institut fuer Angewandte Geodaesie (Germany)


Published in SPIE Proceedings Vol. 2357:
ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision

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