Real-Time Edge Detection In Noisy Imagery

James J. Reis; G. S. Robinson; A. B. Lucero

doi:10.1117/12.956727

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9 January 1979 Real-Time Edge Detection In Noisy Imagery

James J. Reis, G. S. Robinson, A. B. Lucero

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Proceedings Volume 0155, Image Understanding Systems and Industrial Applications I; (1979) https://doi.org/10.1117/12.956727
Event: 22nd Annual Technical Symposium, 1978, San Diego, United States

Abstract

The Sobel and Maximum Gradient edge detection operators are examined with respect to their response to Gaussian noise, and closed form solutions to their resulting probability density functions are presented. The results of million event Monte Carlo simulations are presented for various contrast to noise ratios (CNR) for an ideal edge and an expression is derived for edge detection performance as a function of CNR. It is shown that acceptable edge detection performance is achieved for CNR values greater than 4. For comparison purposes, the edge direction images for an aerial photograph are shown at four different signal to noise ratios.

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James J. Reis, G. S. Robinson, and A. B. Lucero "Real-Time Edge Detection In Noisy Imagery", Proc. SPIE 0155, Image Understanding Systems and Industrial Applications I, (9 January 1979); https://doi.org/10.1117/12.956727

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