Automated Pipeline Diagnostics Using Image Processing and Intelligent System
Author:
Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-13-8297-0_16
Reference19 articles.
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3. Wang Y, Su J (2014) Automated defect and contaminant inspection of HVAC duct. Autom Constr 41:15–24
4. Mashford J, Rahilly M, Lane B, Marney D, Burn S (2014) Edge detection in pipe images using classification of haar wavelet transforms. Appl Artificial Intell 28(7):675–689
5. Mashford J, Rahilly M, Davis P, Burn S (2010) A morphological approach to pipe image interpretation based on segmentation by support vector machine. Autom Constr 19(7):875–883
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