Discontinuity Detection and Thresholding-A Stochastic Approach

David Lee, G. W. Wasilkowski

Research output: Contribution to journalArticlepeer-review


We study discontinuity detection and thresholding using a stochastic approach. We discuss a general form of detectors, which includes a number of well known detectors as special cases. Thresholding is indispensable to eliminate spurious responses from the detection process. We propose a Weighted Thresholding, which is designed to cope with a variety of anomalies. Our analysis and experimental results on real images show that intelligent thresholding methods can make a significant difference for discontinuity detection.

Original languageEnglish
Pages (from-to)76-96
Number of pages21
JournalJournal of Complexity
Issue number1
StatePublished - Mar 1993

Bibliographical note

Copyright 2017 Elsevier B.V., All rights reserved.

ASJC Scopus subject areas

  • Algebra and Number Theory
  • Statistics and Probability
  • Numerical Analysis
  • General Mathematics
  • Control and Optimization
  • Applied Mathematics


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