An Approach Using Mathematical Morphology and Support Vector Machines to Detect Features in Pipe Images

Mashford, John; Rahilly, Mike; Davis, Paul F.

doi:10.1109/dicta.2008.25

Cited by 3 publications

(3 citation statements)

References 11 publications

(13 reference statements)

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“…Acoustic detection method judged the sound mainly from the pipeline; however, electromagnetic induction probably interpreted the signal. What is more, the acoustic sounding method and high-precision acoustic amplifier can judge the water flow in the pipeline [51][52][53][54], which is worth further exploration. As the water supply system standard and the measures of water saving and the development stages vary between countries, the water consume estimation method should be adjusted according local conditions, and its accuracy needs to be further explored [38,40].…”

Section: Discussionmentioning

confidence: 99%

Integrated Detection of a Complex Underground Water Supply Pipeline System in an Old Urban Community in China

Deng

Zhang

et al. 2020

Sustainability

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An underground water supply pipeline system is an integral part of urban infrastructure. The safety, stability, reliability, and efficiency of this water system are critical for the daily work and livelihood of the people dependent on it. However, with the development of cities in China, the water supply systems in urban communities require constant re-building and improvement, which complicates the system. Considering the defects of obsolete design, lack of information, and irregularity of the constructions over the years, the maintenance of underground pipelines in older communities is onerous and arduous. In this work, the older pipeline system at the Taibai campus of Northwest University, Shaanxi Province, was taken as one typical old urban community and investigated by different measures. Detection was performed from the available concentrated water supply wells to surrounding areas combining electromagnetic induction, geophysical method by ground-penetrating radar (GPR), and acoustic detection methods. Applying the integrated detection method and considering known pipeline network designs, the properties and complex relationships of different pipeline materials (cast iron, polyethylene (PE), and polyvinyl chloride (PVC)) were determined. In addition, a spatial distribution map of the pipes from wells and the main input water supply pipelines was achieved. The results suggest that the integrated detection scheme combining these three methods provides an effective approach to analyze complex water supply pipelines in older communities, in which each single detection method has more uncertainties. The study provides valuable references for similar communities in many developing countries.

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Section: Discussionmentioning

confidence: 99%

Integrated Detection of a Complex Underground Water Supply Pipeline System in an Old Urban Community in China

Deng

Zhang

et al. 2020

Sustainability

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“…For α = 1 the α-erosion α coincides with the usual erosion . A proof of this theorem is given in [25]. It is also straightforward to show that…”

Section: Detection Of Flow Lines Pipe Joints and Adjoining Defectsmentioning

confidence: 92%

“…In the case of the given example, there are 6 such components. Pipe joints may be determined by analysis of the candidate pipe joint set [25].…”

mentioning

confidence: 99%

An Approach to Pipe Image Interpretation Based Condition Assessment for Automatic Pipe Inspection

Mashford

Marlow

Burn

2009

Advances in Civil Engineering

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Condition assessment forms an important part of the asset management of buried pipelines. This is carried out through the use of inspection systems which usually consist of an image acquisition device attached to a mobile robotic platform. Complete or partial automation of image interpretation could increase the efficiency and objectivity of pipe inspection. A key component of an automatic pipe inspection system is the segmentation module. This paper describes an approach to automatic pipe inspection using pixel-based segmentation of colour images by support vector machine (SVM) coupled with morphological analysis of the principal component of the segmented image. The morphological analysis allows the principal component of the segmented image to be decomposed into the pipe flow lines region, the pipe joints, and adjoining defects. A simple approach to detecting pipe connections using fuzzy membership functions relating to defect size and location is also described.

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Automated Pipeline Diagnostics Using Image Processing and Intelligent System

Lemma

Muniandy

Ahsan

2019

Advances in Material Sciences and Engineering

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An Approach Using Mathematical Morphology and Support Vector Machines to Detect Features in Pipe Images

Cited by 3 publications

References 11 publications

Integrated Detection of a Complex Underground Water Supply Pipeline System in an Old Urban Community in China

Integrated Detection of a Complex Underground Water Supply Pipeline System in an Old Urban Community in China

An Approach to Pipe Image Interpretation Based Condition Assessment for Automatic Pipe Inspection

Automated Pipeline Diagnostics Using Image Processing and Intelligent System

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