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Proceedings Paper

Adaptive imager: a real-time locally adaptive edge enhancement system
Author(s): Steven E. Strang
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Paper Abstract

Edge enhancement is typically the first processing step for computer vision applications. Edge enhancement can also be applied in bringing out the detail in a scene for human viewing. The Intensity Dependant Spatial Summation (IDS) vision model is a spatially variant algorithm which provides an increased level of edge enhancement. The 1DS model is implemented as a large window convolution whose coefficients are a function of the input pixel''s intensity. IDS produces an output which requires only a one-crossing detector to find the edges. Because IDS is spatially variant it has the ability to enhance edges in the dark areas of a scene as well as the bright areas which in turn produces a visually enhanced output image. Odetics has developed a very high speed non-linear large area convolver system the Adaptive Imager (AIS). The Adaptive Imager is able to produce a 16-bit IDS output image at RS-170 video rate (30 frames per second).

Paper Details

Date Published: 1 February 1991
PDF: 11 pages
Proc. SPIE 1384, High-Speed Inspection Architectures, Barcoding, and Character Recognition, (1 February 1991); doi: 10.1117/12.25340
Show Author Affiliations
Steven E. Strang, Odetics, Inc. (United States)


Published in SPIE Proceedings Vol. 1384:
High-Speed Inspection Architectures, Barcoding, and Character Recognition
Michael J. W. Chen, Editor(s)

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