TY - JOUR
T1 - Applications of red-green-blue normalisation and interframe difference matrix in complex surface by eddy current pulsed thermography
AU - Liu, Zhiping
AU - Du, Yong
AU - Zhu, Chao
AU - Li, Xuan
AU - Jiang, Xiaoli
PY - 2018
Y1 - 2018
N2 - 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%.
AB - 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%.
KW - Infrared thermal image sequence
KW - Interframe difference method
KW - Red-green-blue normalisation method
UR - http://www.scopus.com/inward/record.url?scp=85059783106&partnerID=8YFLogxK
U2 - 10.1784/insi.2018.60.12.670
DO - 10.1784/insi.2018.60.12.670
M3 - Article
AN - SCOPUS:85059783106
SN - 1354-2575
VL - 60
SP - 670
EP - 675
JO - Insight: Non-Destructive Testing and Condition Monitoring
JF - Insight: Non-Destructive Testing and Condition Monitoring
IS - 12
ER -