Share Email Print

Proceedings Paper

Adaptive imager: a real-time locally adaptive edge enhancement system
Author(s): Steven E. Strang
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

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)

© SPIE. Terms of Use
Back to Top