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Proceedings Paper

Efficient implementations of edge localization algorithms
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Paper Abstract

Edges in grayscale digital imagery are detected by localizing the zero crossings of filtered data. To achieve this objective, 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. This paper evaluates an adaptive block-wise filtering procedure based on the FSF of the LOG filter which diminishes the edge localization error, emphasizes the signal-to-noise ratio (SNR) around the edge, and extends easily to higher dimensions. Theoretical expressions and applications to digital images are presented.

Paper Details

Date Published: 12 March 2002
PDF: 11 pages
Proc. SPIE 4665, Visualization and Data Analysis 2002, (12 March 2002); doi: 10.1117/12.458777
Show Author Affiliations
Ramakrishnan Sundaram, Gannon Univ. (United States)


Published in SPIE Proceedings Vol. 4665:
Visualization and Data Analysis 2002
Robert F. Erbacher; Philip C. Chen; Matti Groehn; Jonathan C. Roberts; Craig M. Wittenbrink, Editor(s)

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