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Measuring corrosion levels of ductile iron pipes using scanned images

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M e a suring c orrosion leve ls of duc t ile iron pipe s using sc a nne d im a ge s

O R A L - 9 2 4

M a k , H . ; W o n g , B .

J a n u a r y 2 0 0 9

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Measuring Corrosion Levels of

Ductile Iron Pipes Using Scanned

Images

Helium Mak, Brian Wong & Steven Kruithof (London) Dennis Krys & Zheng Liu (Ottawa)

January 21, 2009

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Overview

• Introduction

- Project Information, Objective

- Preparing Sample, Processing Scanned Images

• Challenges • The Process • Test Results • Conclusion

• Questions & Discussions

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Introduction

24 JUN 2008 Project Started

09 JUL 2008 Received Two Samples

13 AUG 2008 Returned Sample A to Ottawa

16 OCT 2008 Returned Sample B to Ottawa

16 DEC 2008 Submission for Construction

Innovation March 2009 Issue

09 JAN 2009 Research Report Published

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Objective

To develop a corrosion volume measurement method using laser scanning:

• Use existing equipment

• Use Matlab

• Accuracy (?)

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Image

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Image

200901191519 Rough Draft for Surface Measurement - Sample B.jpg

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Image

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Image

200901191931 EST 0.08 Step 1 - Start Pos.bmp

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Challenges

• We want to develop a method requiring a single scan only.

• Each scanned image is in its own space.

• Even two images are aligned, their points and scanned lines are not.

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The Process

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Image Alignment

original corroded Align corroded to original

Calc xform Matrix: Pha=PhbxT T=Phb-1xP ha Apply xfm to corroded Pa=PbxT

×

Phb Pha Pb Pb Pb,Pa

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Image

200901191936 EST 0.08 Step 1 - Combi T.bmp

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Image

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Image

200901191947 EST 0.08 Step 3 - After.bmp

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Image

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Image

200901191953 EST 0.08 Step 5a - After.bmp

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Corrosion Depth Calculation

original z

- =

corroded z corrosion depth ∆z

z

x

original image

image after corrosion

surface grid sample points

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Complications

ƒ Surface normal not align with z-axis

• Rotate images before CD calculation

– Plane fitting

– Plane normal angle calculation – 3D images rotation

ƒ Edge effect of surface fitting

• Calculate CD in reduced zone (10%)

– Boundary detection & line fitting (quadrilateral)

– Image cropping

44-LON0000-L IRC LONDON GENERAL

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Mathematical Operations

original image

aligned corroded

exposed surface original

oriented exposed surface

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Tests & Test Results

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Corrosion Simulation

• Manually isolate the exposed surface from the probe image and move it deeper by:

• 0.08 mm

• 4 mm

• 4 mm +/- 5% noise

• Perform on two samples given

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Results

44-LON0000-L IRC LONDON GENERAL

4.00mm

4.00mm with

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Some Less Favourable Results

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Overall

44-LON0000-L IRC LONDON GENERAL

Sample A Sample B

Tilt angle with z-axis 2.43o / 0.002o 6.64o / 0.004o

Corrosion depth (mm) 0.08 4.00 4.00 ± 0.08 4.00 4.00 ± CD Medium 0.083 4.032 4.050 0.083 3.997 4.094 CD Std σ 0.088 0.052 0.105 0.032 0.074 0.263 Corr. Vol. (mm3) 37.06 1812 1824 41.83 2000 2034 Corr. Area (mm2) 449.3 449.3 450.4 500.3 500.3 500.3 Mean CD (mm) = d 0.082 4.03 4.05 0.084 3.998 4.065 Accuracy (%)* 97.5 99.3 98.8 95.0 99.95 98.38 % 100 1 0 0 × ⎟⎟ ⎠ ⎞ ⎜⎜ ⎝ ⎛ − = d d d Accuracy

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Lessons Learned

• Method feasibility depends on proper surface treatment (dirt, rust, etc.)

• Small surface features (e.g. pits) may be a challenge

• Corrosion volume is not good for comparison because corrosion area varies between

measurements. Use mean corrosion depth instead:

44-LON0000-L IRC LONDON GENERAL

area corrosion volume corrosion depth corrosion mean =

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Future Improvements

• Use multiple scanned image technique. • Corrosion feature detection and analysis.

• Auto-determination of the corrosion surface. • Incorporate the image alignment algorithm in

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Questions & Discussions

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Enquiry and/or Feedback

Please contact Authors in London as follows:

Address: National Research Council of Canada

800 Collip Circle

London, Ontario N6G 4X8

Phone: (519) 430-7000

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