Share Email Print

Proceedings Paper

Comparing edge-detection algorithm performance under degrading signal-to-noise ratio conditions
Author(s): Kelce S. Wilson
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

A metric is developed for evaluating performance degradation of edge detection algorithms as a function of signal to noise ratio (SNR). The metric combines both missed detections and false alarms to form a composite score. This provides a basis for objectively comparing the performance of different techniques and quantifies relative noise tolerance. It is applied to various popular algorithms, Sobel, Roberts, Prewitt, and Laplacian of Gaussian, but is described in sufficient detail to facilitate easy application to other edge detection methods. Results shown allow selection of the most optimum method for application to images with known SNR levels.

Paper Details

Date Published: 20 March 2001
PDF: 6 pages
Proc. SPIE 4387, Optical Pattern Recognition XII, (20 March 2001); doi: 10.1117/12.421139
Show Author Affiliations
Kelce S. Wilson, Air Force Research Lab. (United States)

Published in SPIE Proceedings Vol. 4387:
Optical Pattern Recognition XII
David P. Casasent; Tien-Hsin Chao, Editor(s)

© SPIE. Terms of Use
Back to Top