Using local information for the reliable removal of noise from the output of the LoG edge detector

A method is suggested for enhancing the performance of the Laplacian of Gaussian (LOG) edge detector using local information from the neighborhood of the potential edge contours. This information is employed to separate valid edges from false ones in a reliable, efficient, low complexity manner. Statistical analysis, simulation, and, comparison with other techniques are provided.<<ETX>>

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