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Journal ArticleDOI

Corrosion detection of internal pipeline using NDT optical inspection system

TLDR
In this article, an intensity-based optical system for internal pipe inspection is proposed, which consists of a laser diode, an optical ring pattern generator and a CCD camera.
Abstract
Internal pipe inspection, in many industries, is usually carried out using CCTV (Closed-Circuit TV) cameras and off-line human surveys through raw image assessment for failure identification. CCTV-based techniques have some limitations that restrict their implementation, namely: (1) the lack of visibility in the interior of the pipes and (2) the poor quality of the obtained images because of difficult lighting conditions. In this paper, we propose an intensity-based optical system for internal pipe inspection. The proposed optical system consists of a laser diode, an optical ring pattern generator and a CCD camera. The physical sensor behavior is explained using reflectance theory and experimental data. Finally, a surface map of the inside pipe wall is generated by extracting the intensity information existing in the pipe images. Defects and anomalies can be identified using this extracted image. Experiments in a realistic environment have been conducted and results are presented.

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Citations
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Journal ArticleDOI

Theory and Application of Magnetic Flux Leakage Pipeline Detection

TL;DR: The main principles, measurement and processing of MFL data, the identification of the leakage magnetic signal is discussed, and future developments in pipeline MFL detection are predicted.
Journal ArticleDOI

Discontinuity inspection in pipelines: A comparison review

TL;DR: In this paper, the importance of pipeline inspection is firstly emphasized and the studies about the inspection of pipelines at literature are examined, in addition, the usage purposes of PIGs, the basics of Non-destructive Evaluation technologies and the samples of applications at pipelines are examined.
Journal ArticleDOI

Review-material degradation assessed by digital image processing: Fundamentals, progresses, and challenges

TL;DR: A comprehensive review of material degradation assessed by digital image processing can be found in this paper, where a variety of image acquisition devices that export digital images in grayscale or true color to a detector are described.
Journal ArticleDOI

Texture digital analysis for corrosion monitoring

TL;DR: In this article, the use of texture analysis, an automated optical inspection technique, for non-destructive surface corrosion monitoring was proposed, and an ASTM A36 steel atmospheric corrosion test was conducted over 44 days to obtain a photo sequence of corrosion evolution.
Journal ArticleDOI

Pipeline In-Line Inspection Method, Instrumentation and Data Management.

TL;DR: In this article, the state of the art of pipeline inspection with non-destructive testing (NDT) and data models and management are systematically compared for defect quantification, classification, failure prediction and maintenance.
References
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Journal ArticleDOI

A flexible new technique for camera calibration

TL;DR: A flexible technique to easily calibrate a camera that only requires the camera to observe a planar pattern shown at a few (at least two) different orientations is proposed and advances 3D computer vision one more step from laboratory environments to real world use.
Journal ArticleDOI

Approximation by superpositions of a sigmoidal function

TL;DR: It is demonstrated that finite linear combinations of compositions of a fixed, univariate function and a set of affine functionals can uniformly approximate any continuous function ofn real variables with support in the unit hypercube.

Numerically Stable Direct Least Squares Fitting of Ellipses

TL;DR: This paper presents a numerically stable non-iterative algorithm for fitting an ellipse to a set of data points based on a least squares minimization which leads to a simple, stable and robust fitting method which can be easily implemented.
Journal ArticleDOI

State of the art in sensor technologies for sewer inspection

TL;DR: In this article, the state of the art in sensors and automated inspection devices for enhanced sewer inspection is reviewed, including infrared, microwave, optical, and ultrasonic-based sensors.
Journal ArticleDOI

Classification of Defects in Sewer Pipes Using Neural Networks

TL;DR: In this paper, the authors discuss the degradation of underground infrastructure facilities such as sewer pipes, which poses a serious problem to most developed urban centers today, as distribution piping networks age, they deteriorate and m...
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In this paper, we propose an intensity-based optical system for internal pipe inspection.