An efficient method to evaluate the performance of edge detection techniques by a two-dimensional Semi-Markov model

Dmitry Dubinin, Viktor Geringer, Alexander Kochegurov, Konrad Reif

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

The essay outlines one particular possibility of efficient evaluating the Performance of edge detector algorithms. Three generally known and published algorithms (Canny, Marr, Shen) were analysed by way of example. The analysis is based on two-dimensional signals created by means of two-dimensional Semi-Markov Model and subsequently provided with an additive Gaussian noise component. Five quality metrics allow an objective comparison of the algorithms.

Original languageEnglish
Title of host publicationIEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - CICA 2014
Subtitle of host publication2014 IEEE Symposium on Computational Intelligence in Control and Automation, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479945313
DOIs
Publication statusPublished - 16 Jan 2014
Event4th IEEE Symposium on Computational Intelligence in Control and Automation, CICA 2014 - Orlando, United States
Duration: 9 Dec 201412 Dec 2014

Publication series

NameIEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - CICA 2014: 2014 IEEE Symposium on Computational Intelligence in Control and Automation, Proceedings

Conference

Conference4th IEEE Symposium on Computational Intelligence in Control and Automation, CICA 2014
CountryUnited States
CityOrlando
Period9.12.1412.12.14

Keywords

  • comparison of algorithms
  • edge detection
  • performance evaluation
  • Stochastic computer simulation
  • two-dimensional renewal stream
  • two-dimensional Semi-Markov Model

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering

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