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Journal of Electronic Imaging

Gaussian mixture model for edge-enhanced images
Author(s): Gregory W. Cook; Edward J. Delp
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Paper Abstract

In this paper we present a new stochastic model for pixels in an edge-enhanced image. The model is robust because it allows for the possibilities of false and multiple edges, and may be efficiently estimated using an expectation-maximization technique with a minimum description length metric. The direct applicability of the model for the sequential edge linking algorithm is investigated and shown to improve edge detection for low signal-to-noise ratio cases.

Paper Details

Date Published: 1 October 2004
PDF: 7 pages
J. Electron. Imag. 13(4) doi: 10.1117/1.1790507
Published in: Journal of Electronic Imaging Volume 13, Issue 4
Show Author Affiliations
Gregory W. Cook, Purdue Univ. (United States)
Edward J. Delp, Purdue Univ. (United States)

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