Pv. Henstock et Dm. Chelberg, AUTOMATIC GRADIENT THRESHOLD DETERMINATION FOR EDGE-DETECTION, IEEE transactions on image processing, 5(5), 1996, pp. 784-787
We describe a method to automatically find gradient thresholds to sepa
rate edge from nonedge pixels. A statistical model that is the weighte
d smm of two gamma densities corresponding to edge and nonedge pixels
is used to identify a threshold. Results closely match human perceptua
l thresholds even under low signal-to-noise ratio (SNR) levels.