The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Application of Wavelet Transform in Image Processing in Aviation Engine Damage
Open accessAbstract
For the poor quality of the damage image which is obtained by techniques of practical endoscope detection, the damage image is not easy to identify, this article uses the wavelet transform method for processing damage image, adopts soft threshold method to filter the noise, and then enhances the image, finally employs wavelet transform method in the image edge detection, protrudes the information of the fault and the edge, which is convenient for damage recognition.
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“it also has limitations of relatively low image quality and poor lighting conditions inside the engine [8].”
From Automated Defect Detection and Decision-Support in Gas Turbine Blade Inspection (2021) · cites this paper as [8]
Citations
Cites
Ideal Spatial Adaptation by Wavelet Shrinkage
Donoho, D. L., & Johnstone, I. M. (1994) · Biometrika · doi:10.1093/biomet/81.3.425 · Cited by 8,730
Research works printed but not linked: 3
- Hu Changhua, Zhang Junbo etc, Systen Analysis and Design Based on MATLAB－Wavelet Analysis. Xi'an：Xi'an Electronics Technical University Press，(1999).
- ZHANG Ya-ni. Image process sings of video frequency based on wavelet transformation [J]. Journal of Liaoning Technical University. 2004, 23(2): 230-232.
- LUO Yun-lin, MENG Jiao-ru Study of engine endoscopic system based on wavelet transformation and stereo vision [J] Journal of Liaoning Technical University 2005 24 (4): 573-576.
Cited by
Sorted by citations
Automated Defect Detection and Decision-Support in Gas Turbine Blade Inspection
Aust, J., Shankland, S., Pons, D., Mukundan, R., & Mitrovic, A. (2021) · Aerospace · doi:10.3390/aerospace8020030 · Cited by 66
“The challenge with automating this form of inspection is the inconsistent camera position and orientation, in combination with the challenging environment [8,9].”
Background
Metadata
- Authors
- Qin, Y. F., Cao, J. B., & Cao, J. Q.
- Affiliations
- First Aeronautic Institute of Air Force
- Guiyang Junior Middle School
- Venue
- Applied Mechanics and Materials
- Publisher
- Trans Tech Publications, Ltd.
- Published
- 2013-08
- Volume
- 347-350
- Pages
- 3576-3580
- ISSN
- 1660-9336 (ISSN-L)
- 1662-7482
- OpenAlex
- W1974225353
- Cited by
- 5
- References
- 1
- Citations by year
- 2026: 1 · 2022: 2 · 2021: 2
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Applied Mechanics and Materials (publishedVersion, cc-by)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image and Signal Denoising Methods
- Physical Sciences › Engineering › Control and Systems Engineering › Machine Fault Diagnosis Techniques
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Industrial Vision Systems and Defect Detection
- Keywords
- wavelet transform, soft threshold denoising, edge detection, damage detection, image processing
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Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Application of Wavelet Transform in Image Processing in Aviation Engine Damage. https://app.cochat.ai/papers/10.4028/www.scientific.net/amm.347-350.3576
- The paper
- Qin, Y. F., Cao, J. B., & Cao, J. Q. (2013). Application of Wavelet Transform in Image Processing in Aviation Engine Damage. Applied Mechanics and Materials. https://doi.org/10.4028/www.scientific.net/amm.347-350.3576
