Title :
Detection of Step Edges in Noisy One-Dimensional Data
Author :
Davis, Larry S. ; Rosenfeld, Azriel
Author_Institution :
the Computer Science Center, University of Maryland
Abstract :
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.
Keywords :
Edge detection, image processing, picture processing.; Biological cells; Computer science; Image edge detection; Image processing; Information science; Edge detection, image processing, picture processing.;
Journal_Title :
Computers, IEEE Transactions on
DOI :
10.1109/T-C.1975.224111
