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Proceedings Paper

Combining color and edge information to find door locations in an image
Author(s): Carl K. Wellington; Roger A. Bock; Bruce A. Maxwell
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Paper Abstract

A method for locating the doors in an image is presented. The method integrates an edge map with color information known about the doors to provide better results than methods based purely on color or edges. The Hough transform is used to find lines and then a set of heuristics is used to find possible door regions. The door regions are tested by determining whether the region is the correct color. The combination of color and edge data allowed the system to successfully identify doors within a complex environment at different scales, orientations, lighting conditions and using different cameras.

Paper Details

Date Published: 26 August 1999
PDF: 9 pages
Proc. SPIE 3837, Intelligent Robots and Computer Vision XVIII: Algorithms, Techniques, and Active Vision, (26 August 1999); doi: 10.1117/12.360297
Show Author Affiliations
Carl K. Wellington, Swarthmore College (United States)
Roger A. Bock, Swarthmore College (United States)
Bruce A. Maxwell, Swarthmore College (United States)


Published in SPIE Proceedings Vol. 3837:
Intelligent Robots and Computer Vision XVIII: Algorithms, Techniques, and Active Vision
David P. Casasent, Editor(s)

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