Based on John Canny's paper “A Computational Approach to Edge Detection”(IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. PAMI-8, No.6, November 1986), there are four major steps used in the edge-detection scheme: (1) Smooth the input image with Gaussian filter. (2) Calculate the second directional derivatives of the smoothed image. (3) Non-Maximum Suppression: the zero-crossings of 2nd derivative are found, and the sign of third derivative is used to find the correct extrema. (4) The hysteresis thresholding is applied to the gradient magnitude (multiplied with zero-crossings) of the smoothed image to find and link edges.
Type: Image4DFloat, Required, Single
Lower Threshold Number
Define the lower threshold for detection edges.
Upper Threshold Number
Define the upper threshold for detection edges.
Set the variance of the Gaussian smoothing filter.
Maximum Error Number
Set the MaximumError parameter used by the Gaussian smoothing filter in this algorithm.
Keywords: Canny, edge, edge-detection
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