Image Modeling and Analysis

Gaussian mixture model for edge-enhanced images

[+] Author Affiliations
Gregory W. Cook, Edward J. Delp

Purdue University, School of Electrical and Computer Engineering, Video and Image Processing Laboratory (VIPER Lab), West Lafayette, Indiana?47907–1285 E-mail: ace@ecn.purdue.edu

J. Electron. Imaging. 13(4), 731-737 (Oct 01, 2004). doi:10.1117/1.1790507
History: Received Feb. 10, 2003; Revised Sep. 17, 2004; Accepted Feb. 17, 2004; Online September 30, 2004
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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. © 2004 SPIE and IS&T.

© 2004 SPIE and IS&T

Citation

Gregory W. Cook and Edward J. Delp
"Gaussian mixture model for edge-enhanced images", J. Electron. Imaging. 13(4), 731-737 (Oct 01, 2004). ; http://dx.doi.org/10.1117/1.1790507


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