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9 January 1979 Real-Time Edge Detection In Noisy Imagery
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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.
© (1979) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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