Finding Edges in Noisy Scenes

  • Authors:

  • Raul Machuca;Alton L. Gilbert

  • Affiliations:

  • Department of the Army, U.S. Army White Sands Missile, Range, White Sands Missile Range, NM 88002.;Department of the Army, U.S. Army White Sands Missile, Range, White Sands Missile Range, NM 88002.

  • Venue:
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Year:
  • 1981

Quantified Score

Hi-index 0.14

Visualization

Abstract

Edge detection in the presence of noise is a well-known problem. This paper examines an applications-motivated approach for solving the problem using novel techniques and presents a method developed by the authors that performs well on a large class of targets. ROC curves are used to compare this method with other well-known edge detection operators, with favorable results. A theoretical argument is presented that favors LMMSE filtering over median filtering in extremely noisy scenes. Simulated results of the research are presented.