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Proceedings Paper

Generalized adaptive smoothing for multiscale edge detection
Author(s): Jer-Sen Chen
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Paper 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.

Paper Details

Date Published: 1 March 1992
PDF: 12 pages
Proc. SPIE 1708, Applications of Artificial Intelligence X: Machine Vision and Robotics, (1 March 1992); doi: 10.1117/12.58584
Show Author Affiliations
Jer-Sen Chen, Wright State Univ. (United States)

Published in SPIE Proceedings Vol. 1708:
Applications of Artificial Intelligence X: Machine Vision and Robotics
Kevin W. Bowyer, Editor(s)

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