The results of a complex analysis of the modified pratt-yaskorskiy performance metrics based on the two-dimensional markov-renewal-process

Viktor Geringer, Dmitry Dubinin, Alexander Kochegurov

Research output: Contribution to journalConference articlepeer-review

2 Citations (Scopus)

Abstract

The paper presents the results of a quantitative estimation of the edge detection quality using modified Pratt-Yaskorskiy criterion, as well as generalization and adaptation of both approaches based on the generalized quality criterion as part of «CS sF» stochastic simulation software package. The reference images are approximated by the two-dimensional high rise renewal stream offering the stationarity properties with no aftereffects and ordinariness. The efficiency of the proposed metrics is considered for three edging algorithms (Marr-Hildreth, ISEF and Canny) at different levels of the additive normal noise. The estimated errors of the first and second kind are given, which allow referring to the efficiency of the proposed generalized quality criterion.

Original languageEnglish
Pages (from-to)187-196
Number of pages10
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9875 LNCS
DOIs
Publication statusPublished - 2016
Event8th International Conference on Computational Collective Intelligence, ICCCI 2016 - Halkidiki, Greece
Duration: 28 Sep 201630 Sep 2016

Keywords

  • Comparison of algorithms
  • Edge detection
  • Performance evaluation
  • Quality metrics
  • Reference image
  • Research on models
  • Stochastic computer simulation

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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