Title :
Quantitative analysis of a moment-based edge operator
Author :
Eichel, Paul H. ; Delp, Edward J.
Author_Institution :
Michigan Univ., Ann Arbor, MI, USA
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;
Journal_Title :
Systems, Man and Cybernetics, IEEE Transactions on
