Automatic gradient threshold determination for edge detection.
We describe a method to automatically find gradient thresholds to separate edge from nonedge pixels. A statistical model that is the weighted sum of two gamma densities corresponding to edge and nonedge pixels is used to identify a threshold. Results closely match human perceptual thresholds even under low signal-to-noise ratio (SNR) levels.
Henstock
P V
PV
Sch. of Electr. Eng., Purdue Univ., West Lafayette, IN.
Chelberg
D M
DM