Abstract
Because of the increasing requirements in regards to the pipeline transport regulations, the operators take care to the rigorous application of checking routines that ensure nonoccurrence of leaks and failures. In situ pipe inspection systems such as endoscopy, remains a reliable mean to diagnose possible abnormalities in the interior of a pipe such as corrosion. Through digital video processing, the acquired videos and images are analyzed and interpreted to detect the damaged and the risky pipeline areas. Thus, the objective of this work is to bring a powerful analysis tool for a rigorous pipeline inspection through the implementation of specific algorithms dedicated to this application for a precise delimitation of the defective zones and a reliable interpretation of the defect implicated, in spite of the drastic conditions inherent to the evolution of the endoscope inside the pipeline and the quality of the acquired images and videos.
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Acknowledgments
This research was supported by CRTI as part of technological development of research products with a socio-economic impact. We thank all the team members of project “Pipeline Inspection by Endoscopy” who have participated in the realization of the “Endoscope” which make possible the acquiring of video sequences in pipeline and then their processing: the subject of the study in this paper.
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Nacereddine, N., Boulmerka, A., Mhamda, N. (2019). Video Processing and Analysis for Endoscopy-Based Internal Pipeline Inspection. In: Choraś, M., Choraś, R. (eds) Image Processing and Communications Challenges 10. IP&C 2018. Advances in Intelligent Systems and Computing, vol 892. Springer, Cham. https://doi.org/10.1007/978-3-030-03658-4_6
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DOI: https://doi.org/10.1007/978-3-030-03658-4_6
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