Problemy Upravleniya
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive
Impact factor

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



Probl. Upr.:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


Probl. Upr., 2007, Issue 4, Pages 36–42 (Mi pu259)  

This article is cited in 1 scientific paper (total in 1 paper)

Information technologies controls

Cluster analysis application to automatic flaw detection

I. L. Vasilieva, D. N. Sidorovb

a Institute of System Dynamics and Control Theory, Siberian Branch of the Russian Academy of Sciences
b L. A. Melentiev Energy Systems Institute, Siberian Branch of the Russian Academy of Sciences

Abstract: The problem of automatic detection and categorization of flaws that arises in machine vision system development is discussed. A method of its solution is proposed. At the first stage, an autonomous process of system learning is performed where the learning samples of the analyzed flaw symptoms are split into clusters with medians. At the second stage, the real-time inspection process is performed where each incoming pattern is categorized according to the nearest median type. The paper notes that the comparative analysis against other techniques showed the effectiveness of the method proposed.

Full text: PDF file (454 kB)
References: PDF file   HTML file
UDC: 519.68+681.513.7+519.854.2

Citation: I. L. Vasiliev, D. N. Sidorov, “Cluster analysis application to automatic flaw detection”, Probl. Upr., 2007, no. 4, 36–42

Citation in format AMSBIB
\Bibitem{VasSid07}
\by I.~L.~Vasiliev, D.~N.~Sidorov
\paper Cluster analysis application to automatic flaw detection
\jour Probl. Upr.
\yr 2007
\issue 4
\pages 36--42
\mathnet{http://mi.mathnet.ru/pu259}


Linking options:
  • http://mi.mathnet.ru/eng/pu259
  • http://mi.mathnet.ru/eng/pu/v4/p36

    SHARE: VKontakte.ru FaceBook Twitter Mail.ru Livejournal Memori.ru


    Citing articles on Google Scholar: Russian citations, English citations
    Related articles on Google Scholar: Russian articles, English articles

    This publication is cited in the following articles:
    1. V. G. Kurbatsky, D. N. Sidorov, V. A. Spiryaev, N. V. Tomin, “Forecasting nonstationary time series based on Hilbert–Huang transform and machine learning”, Autom. Remote Control, 75:5 (2014), 922–934  mathnet  crossref  isi
  • Проблемы управления
    Number of views:
    This page:151
    Full text:92
    References:13

     
    Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2021