Generalized adaptive smoothing for multiscale edge detection

Jer-Sen Chen

doi:10.1117/12.58584

1 March 1992 Generalized adaptive smoothing for multiscale edge detection

Jer-Sen Chen

Proceedings Volume 1708, Applications of Artificial Intelligence X: Machine Vision and Robotics; (1992) https://doi.org/10.1117/12.58584
Event: Aerospace Sensing, 1992, Orlando, FL, United States

Abstract

Discontinuity preserving smoothing for edge detection is receiving more attention because of the fact that it does not suffer the disadvantage of linear filtering which smooth edges as well as noise. Adaptive smoothing is basically a discontinuity preserving smoothing scheme which preserves edges with gradient magnitude greater the preset threshold value. However, it suffers a leaking effect in its long term iterative behavior. The propagation of smoothing in the low contrast area will sometimes affect the preservation of high contrast edges. This paper proposes a remedy for adaptive smoothing which includes the original image in the iteration process. It provides not only a more stable iterative behavior, but also introduces a new scaling parameter which facilitates multiple scale processing. The study of iterative behavior of the proposed generalized adaptive smoothing as well as automatic selection of the number of iterations is presented.

Citation Download Citation

Jer-Sen Chen "Generalized adaptive smoothing for multiscale edge detection", Proc. SPIE 1708, Applications of Artificial Intelligence X: Machine Vision and Robotics, (1 March 1992); https://doi.org/10.1117/12.58584

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