Quantification technology study on flaws in steam-filled pipelines based on image processing

Pei-xin Yuan; Jia-hui Cong; Bo Chen

doi:10.1117/12.790920

22 February 2008 Quantification technology study on flaws in steam-filled pipelines based on image processing

Pei-xin Yuan, Jia-hui Cong, Bo Chen

Proceedings Volume 6622, International Symposium on Photoelectronic Detection and Imaging 2007: Laser, Ultraviolet, and Terahertz Technology; 66221Y (2008) https://doi.org/10.1117/12.790920
Event: International Symposium on Photoelectronic Detection and Imaging: Technology and Applications 2007, 2007, Beijing, China

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. The X-ray source tube voltage was selected as 130kv and valve current was 1.5mA.Test results show that X-ray image processing methods, 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.

Citation Download Citation

Pei-xin Yuan, Jia-hui Cong, and Bo Chen "Quantification technology study on flaws in steam-filled pipelines based on image processing", Proc. SPIE 6622, International Symposium on Photoelectronic Detection and Imaging 2007: Laser, Ultraviolet, and Terahertz Technology, 66221Y (22 February 2008); https://doi.org/10.1117/12.790920

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