Issue No. 10 - October (1975 vol. 24)
L.S. Davis , the Computer Science Center, University of Maryland
A method of detecting step edges in noisy one-dimensional input data is described. The method involves examination of differences in average gray level over ranges of positions and sizes. Unlike previously described methods, it remains reliable when edges occur close to one another.
Edge detection, image processing, picture processing.
L. Davis and A. Rosenfeld, "Detection of Step Edges in Noisy One-Dimensional Data," in IEEE Transactions on Computers, vol. 24, no. , pp. 1006-1010, 1975.