Applications of red-green-blue normalisation and interframe difference matrix in complex surface by eddy current pulsed thermography

Zhiping Liu, Yong Du, Chao Zhu, Xuan Li, Xiaoli Jiang

Research output: Contribution to journalArticleScientificpeer-review

Abstract

As a result of the influence of surface characteristics, it is difficult to identify cracks on complex surfaces using the conventional processing of a single-frame image that misses important infrared thermal image sequences. In this paper, the red-green-blue normalisation method and the interframe difference method are used to make full use of the sequences and to characterise infrared thermal images of cracks on complex surfaces. An experiment to prove the effectiveness of the detection method was carried out on weld steel and carbon fibre-reinforced polymer (CFRP) steel plate. The selected infrared thermal image was divided into an objective area and a background area according to the relationship between three parameters for red-green-blue and objective temperature. The targeted and interfering information of the objective area were separated and processed based on the interframe difference method. The index of crack detection was extracted from the interframe difference matrix, which was constructed from two selected infrared thermal images. This method takes into account the local and global spatial information of the image and the maximum crack length measurement error was approximately 6%.

Original languageEnglish
Pages (from-to)670-675
JournalInsight: Non-Destructive Testing and Condition Monitoring
Volume60
Issue number12
DOIs
Publication statusPublished - 2018

Keywords

  • Infrared thermal image sequence
  • Interframe difference method
  • Red-green-blue normalisation method

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