Title :
Optimal edge detection in two-dimensional images
Author :
Qian, Richard J. ; Huang, Thomas S.
Author_Institution :
Coordinated Sci. Lab., Illinois Univ., Urbana, IL, USA
fDate :
7/1/1996 12:00:00 AM
Abstract :
This paper presents a new edge detection scheme that detects two-dimensional (2-D) edges by a curve-segment-based detection functional guided by the zero-crossing contours of the Laplacian-of-Gaussian (LOG) to approach the true edge locations. The detection functional is shown to be optimal in terms of signal-to-noise ratio (SNR) and edge localization accuracy; it also preserves the nice scaling property held uniquely by the LOG in scale space
Keywords :
Gaussian processes; Laplace equations; edge detection; functional analysis; functional equations; 2D edge detection; 2D images; Laplacian of Gaussian; SNR; curve segment based detection functional; edge localization accuracy; edge locations; optimal edge detection; scaling property; signal to noise ratio; two-dimensional images; zero-crossing contours; Algorithm design and analysis; Detectors; Image edge detection; Robustness; Signal to noise ratio; Two dimensional displays; Writing;
Journal_Title :
Image Processing, IEEE Transactions on
