Improving measurement repeatability of ball crater method by using image processing techniques

J. G. Huang, Panos Liatsis, Kevin Cooke

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

A method of improving coating thickness measurement repeatability of the ball crater method is proposed. The improvement is realized by using image processing techniques to measure the radii of crater circles from a microscope image. While traditional methods use a limited number of operator-selected points on a circle edge to calculate the radius value, the new method measures the radius by fitting a circle to all edge points of a crater circle edge, which is automatically extracted from the microscope image of the crater by image processing techniques. This eliminates the randomness introduced by human operators in the traditional methods and improves the measurement repeatability. Experimental results confirm the feasibility of our method and its potential in improving the measurement repeatability and increasing measurement accuracy of the ball crater method.

Original languageBritish English
Title of host publicationIMECS 2011 - International MultiConference of Engineers and Computer Scientists 2011
Pages510-513
Number of pages4
StatePublished - 2011
EventInternational MultiConference of Engineers and Computer Scientists 2011, IMECS 2011 - Kowloon, Hong Kong
Duration: 16 Mar 201118 Mar 2011

Publication series

NameIMECS 2011 - International MultiConference of Engineers and Computer Scientists 2011
Volume1

Conference

ConferenceInternational MultiConference of Engineers and Computer Scientists 2011, IMECS 2011
Country/TerritoryHong Kong
CityKowloon
Period16/03/1118/03/11

Keywords

  • Coatings
  • Digital image processing
  • Measurement repeatability
  • Thickness measurement

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