Real-Time Edge Detection In Noisy Imagery

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

doi:10.1117/12.956727

9 January 1979 Real-Time Edge Detection In Noisy Imagery

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

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.

Citation Download Citation

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

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available