DocumentCode
1152828
Title
Quantitative analysis of a moment-based edge operator
Author
Eichel, Paul H. ; Delp, Edward J.
Author_Institution
Michigan Univ., Ann Arbor, MI, USA
Volume
20
Issue
1
fYear
1990
Firstpage
58
Lastpage
66
Abstract
An operator that is based on the sample variance of a group of pixels is introduced. It exhibits three unique properties: freedom from a predefined shape, low computational complexity and a rigorous stochastic formulation. The utility of the latter property in applying detection-theoretic principles to the task of edge detection and in theoretical predictions of experimental performance measures is demonstrated. The operator is compared with other common edge operators on natural scenes
Keywords
pattern recognition; picture processing; edge detection; moment-based edge operator; natural scenes; pattern recognition; picture processing; pixels; sample variance; stochastic formulation; Computational complexity; Computer vision; Detectors; Image edge detection; Layout; Mathematical analysis; Parametric statistics; Pixel; Shape; Stochastic processes;
fLanguage
English
Journal_Title
Systems, Man and Cybernetics, IEEE Transactions on
Publisher
ieee
ISSN
0018-9472
Type
jour
DOI
10.1109/21.47809
Filename
47809
Link To Document