DocumentCode
1116816
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
Issue
10
fYear
1975
Firstpage
1006
Lastpage
1010
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.;
fLanguage
English
Journal_Title
Computers, IEEE Transactions on
Publisher
ieee
ISSN
0018-9340
Type
jour
DOI
10.1109/T-C.1975.224111
Filename
1672704
Link To Document