Algorithm of fatigue crack detection and determination of its tip position in optical images

S. V. Panin, V. O. Chemezov, P. S. Lyubutin, V. V. Titkov

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

An algorithm of fatigue crack detection in optical images taken in fatigue tests of materials is proposed and tested. The algorithm is designed for automation of measurements of the crack propagation parameter and tracing the crack tip position in the course of cyclic loading for the purpose of shifting the optical system with respect to the examined sample surface to the “region of interest.” It is found that the coordinates of the image fragment containing the crack can be determined with a mean error of 1.93% of the total size of the raster. Testing of the algorithm on model images shows that the mean error of determining the crack tip position is smaller than 56 pixels.

Original languageEnglish
Pages (from-to)237-244
Number of pages8
JournalOptoelectronics, Instrumentation and Data Processing
Volume53
Issue number3
DOIs
Publication statusPublished - 1 May 2017

Fingerprint

Crack detection
cracks
crack tips
Crack tips
fatigue tests
crack propagation
tracing
automation
Optical systems
Crack propagation
Automation
Pixels
pixels
fragments
Fatigue of materials
Cracks
Testing
Fatigue cracks

Keywords

  • contour analysis
  • fatigue crack
  • image processing
  • mathematical morphology
  • optical flow

ASJC Scopus subject areas

  • Instrumentation
  • Condensed Matter Physics
  • Electrical and Electronic Engineering

Cite this

Algorithm of fatigue crack detection and determination of its tip position in optical images. / Panin, S. V.; Chemezov, V. O.; Lyubutin, P. S.; Titkov, V. V.

In: Optoelectronics, Instrumentation and Data Processing, Vol. 53, No. 3, 01.05.2017, p. 237-244.

Research output: Contribution to journalArticle

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