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Erschienen in:
Hybrid Example-Based Single Image Super-Resolution Kapitel lesen Erstes Kapitel lesen

2015 | OriginalPaper | Buchkapitel

Ice Detection on Electrical Power Cables

verfasst von : Binglin Li, Gabriel Thomas, Dexter Williams

Erschienen in: Advances in Visual Computing

Verlag: Springer International Publishing

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Abstract

In northern countries, ice storms can cause major power disruptions such as the one that occurred on December 2013 that left more than 300,000 customers in Toronto with no electricity immediately after such an ice storm. 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 such as images taken under fog conditions that reduces the image contrast, passing cars that are within the field of view of the camera as well as different illumination problems that can occur when taking images during different times of the day. Based on a neural network for classification and six image features that can deal with these difficult images, we reduced the errors on a set of images that was previously yielding 20 errors out of 50 images to only one error.

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Vorheriges Kapitel Classifying Frog Calls Using Gaussian Mixture Models
Nächstes Kapitel Facial Landmark Localization Using Robust Relationship Priors and Approximative Gibbs Sampling
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Metadaten
Titel
Ice Detection on Electrical Power Cables
verfasst von
Binglin Li
Gabriel Thomas
Dexter Williams
Copyright-Jahr
2015
Buch
Advances in Visual Computing

Print ISBN: 978-3-319-27862-9

Electronic ISBN: 978-3-319-27863-6

Copyright-Jahr: 2015

DOI
https://doi.org/10.1007/978-3-319-27863-6_33

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