Ice accumulation detection on electrical power cables based on computer vision
Loading...
Date
2015
Authors
Li, Binglin
Journal Title
Journal ISSN
Volume Title
Publisher
Springer International Publishing,
Abstract
Ice 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.
Description
Keywords
Computer vision, Electrical power cable, Ice detection
Citation
B. Li, G. Thomas and D. Williams, ”Ice Detection on Electrical Power Cables,”Advances in Visual Computing, Springer International Publishing, pp. 355-364, Dec.2015.