Paper
4 August 2009 Quantification technology study on flaws in steam-filled pipelines based on image processing
Lina Sun, Peixin Yuan
Author Affiliations +
Abstract
Starting from exploiting the applied detection system of gas transmission pipeline, a set of X-ray image processing methods and pipeline flaw quantificational evaluation methods are proposed. Defective and non-defective strings and rows in gray image were extracted and oscillogram was obtained. We can distinguish defects in contrast with two gray images division. According to the gray value of defects with different thicknesses, the gray level depth curve is founded. Through exponential and polynomial fitting way to obtain the attenuation mathematical model which the beam penetrates pipeline, thus attain flaw deep dimension. This paper tests on the PPR pipe in the production of simulated holes flaw and cracks flaw, 135KV used the X-ray source on the testing. Test results show that X-ray image processing method, which meet the needs of high efficient flaw detection and provide quality safeguard for thick oil recovery, can be used successfully in detecting corrosion of insulated pipe.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lina Sun and Peixin Yuan "Quantification technology study on flaws in steam-filled pipelines based on image processing", Proc. SPIE 7385, International Symposium on Photoelectronic Detection and Imaging 2009: Terahertz and High Energy Radiation Detection Technologies and Applications, 738509 (4 August 2009); https://doi.org/10.1117/12.832261
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KEYWORDS
X-rays

X-ray imaging

Signal attenuation

Data modeling

Image processing

Mathematical modeling

Sensors

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