Ice accumulation detection on electrical power cables based on computer vision

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dc.contributor.authorLi, Binglin
dc.contributor.examiningcommitteeBirouk, Madjid (Mechanical Engineering) Peters, James (Electrical and Computer Engineering)en_US
dc.contributor.supervisorThomas, Gabriel (Electrical and Computer Engineering)en_US
dc.date.accessioned2016-09-13T22:49:35Z
dc.date.available2016-09-13T22:49:35Z
dc.date.issued2015en_US
dc.degree.disciplineElectrical and Computer Engineeringen_US
dc.degree.levelMaster of Science (M.Sc.)en_US
dc.description.abstractIce storms can cause major power disruptions and detection of ice formation on power cables can help on taking actions for removing the ice before a major problem occurs. A computer vision solution was developed to detect ice on difficult imaging scenarios where illumination and variety of locations can change the image of the cable and background considerably. As the methodology starts with edge detection, support vector regression was applied to predict the upper threshold for the Canny edge detector and it has been proven that this facilitates the later classification accuracy. A total of 44 features based on the gray level co-occurrence matrix, statistical features and Hough transform were extracted and then processed by principal component analysis and sequential forward selection to reduce the feature dimension. Final detection was performed using five different classifiers. It was found that 8 features achieved optimal performance using a support vector machine.en_US
dc.description.noteOctober 2016en_US
dc.identifier.citationB. Li, G. Thomas and D. Williams, ”Ice Detection on Electrical Power Cables,”Advances in Visual Computing, Springer International Publishing, pp. 355-364, Dec.2015.en_US
dc.identifier.urihttp://hdl.handle.net/1993/31727
dc.language.isoengen_US
dc.publisherSpringer International Publishing,en_US
dc.rightsopen accessen_US
dc.subjectComputer visionen_US
dc.subjectElectrical power cableen_US
dc.subjectIce detectionen_US
dc.titleIce accumulation detection on electrical power cables based on computer visionen_US
dc.typemaster thesisen_US
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