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Proceedings Paper

Distinguishing cast shadow boundaries from abrupt object boundaries via edge detection
Author(s): Gordon C. Osbourn
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Paper Abstract

Distinguishing shadow boundaries from object boundaries is a difficult task for machine vision systems. A new edge detector is presented which produces qualitatively distinguishable edge signals at shadow penumbras and abrupt object edges. The detector requires the use of spatially extended light sources and sufficient video resolution to resolve the shadow penumbras of interest. A novel approach to high frequency noise suppression is employed which requires no image-dependent adjustment of signal thresholds. The ability of the operator to distinguish shadow penumbras from abrupt object boundaries while suppressing responses to high frequency noise and texture is illustrated with a number of video images. Similarities between this approach and the perception of shadow boundaries by the human visual system are discussed.

Paper Details

Date Published: 1 March 1992
PDF: 15 pages
Proc. SPIE 1614, Optics, Illumination, and Image Sensing for Machine Vision VI, (1 March 1992); doi: 10.1117/12.57970
Show Author Affiliations
Gordon C. Osbourn, Sandia National Labs. (United States)


Published in SPIE Proceedings Vol. 1614:
Optics, Illumination, and Image Sensing for Machine Vision VI
Donald J. Svetkoff, Editor(s)

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