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Optimal edge detection in two-dimensional images

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2 Author(s)
Qian, R.J. ; Coordinated Sci. Lab., Illinois Univ., Urbana, IL, USA ; Huang, T.S.

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

Published in:

Image Processing, IEEE Transactions on  (Volume:5 ,  Issue: 7 )

Date of Publication:

Jul 1996

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