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Proceedings Paper

Algorithms for efficient and accurate edge detection and localization
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Paper Abstract

The detection of edges in digital imagery based on localizing the zero crossings of filtered image data has been investigated. Truncated time or frequency sampled forms (TSF/FSF) of the Laplacian of Gaussian (LOG) filter are employed in the transform domain. Samples of the image are transformed using the discrete symmetric cosine transform (DSCT) prior to adaptive filtering and the isolation of zero crossings. The DSCT facilitates both control of the edge localization accuracy as well as modular implementation. The adaptive strategy for accepting/rejecting edge transitions at the appropriate locations in the image is based on estimates of the local gradient. This paper evaluates block-based filtering procedures to identify edges in terms of achievable edge localization, signal-to-noise ratio (SNR) around the edge, and computational benefits.

Paper Details

Date Published: 28 December 2000
PDF: 11 pages
Proc. SPIE 4115, Applications of Digital Image Processing XXIII, (28 December 2000); doi: 10.1117/12.411597
Show Author Affiliations
Ramakrishnan Sundaram, Information Systems Inc. (United States)


Published in SPIE Proceedings Vol. 4115:
Applications of Digital Image Processing XXIII
Andrew G. Tescher, Editor(s)

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