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- W2152643237 abstract "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 a expectation-maximization technique with a minimum description length metric. The direct applicability of the model for the sequential edge linking algorithm is investigated." @default.
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- W2152643237 date "2002-11-27" @default.
- W2152643237 modified "2023-09-25" @default.
- W2152643237 title "A Gaussian mixture model for edge-enhanced images with application to sequential edge detection and linking" @default.
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- W2152643237 doi "https://doi.org/10.1109/icip.1998.723501" @default.
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