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Measuring corrosion levels of ductile iron pipes using scanned images
http://irc.nrc-cnrc.gc.ca
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
Overview
• Introduction
- Project Information, Objective
- Preparing Sample, Processing Scanned Images
• Challenges • The Process • Test Results • Conclusion
• Questions & Discussions
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
Objective
To develop a corrosion volume measurement method using laser scanning:
• Use existing equipment
• Use Matlab
• Accuracy (?)
Image
Image
200901191519 Rough Draft for Surface Measurement - Sample B.jpg
Image
Image
200901191931 EST 0.08 Step 1 - Start Pos.bmp
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.
The Process
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,PaImage
200901191936 EST 0.08 Step 1 - Combi T.bmp
Image
Image
200901191947 EST 0.08 Step 3 - After.bmp
Image
Image
200901191953 EST 0.08 Step 5a - After.bmp
Corrosion Depth Calculation
original z
- =
corroded z corrosion depth ∆z
z
x
original image
image after corrosion
surface grid sample points
Complications
Surface normal not align with z-axis
• Rotate images before CD calculation
– Plane fitting
– Plane normal angle calculation – 3D images rotation
Edge effect of surface fitting
• Calculate CD in reduced zone (10%)
– Boundary detection & line fitting (quadrilateral)
– Image cropping
44-LON0000-L IRC LONDON GENERAL
Mathematical Operations
original image
aligned corroded
exposed surface original
oriented exposed surface
Tests & Test Results
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
Results
44-LON0000-L IRC LONDON GENERAL
4.00mm
4.00mm with
Some Less Favourable Results
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
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 =
Future Improvements
• Use multiple scanned image technique. • Corrosion feature detection and analysis.
• Auto-determination of the corrosion surface. • Incorporate the image alignment algorithm in
Questions & Discussions
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