Automatic segmentation and classification of seven-segment display digits on auroral images

In this paper we describe a new and fully automatic method for segmenting and classifying digits in seven-segment displays. The method is applied to a dataset consisting of about 7 million auroral all-sky images taken during the time period of 1973–1997 at camera stations centred around Sodankylä ob...

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Bibliographic Details
Published in:Geoscientific instrumentation, methods and data systems methods and data systems, 2016-07, Vol.5 (2), p.305-314
Main Authors: Savolainen, Tuomas, Whiter, Daniel Keith, Partamies, Noora
Format: Article
Language:English
Subjects:
Algorithms
Cameras
Classification
Datasets
Digits
Image classification
Image segmentation
Methods
Night sky
Principal components analysis
Solar cycle
Time series
Video equipment
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Summary:In this paper we describe a new and fully automatic method for segmenting and classifying digits in seven-segment displays. The method is applied to a dataset consisting of about 7 million auroral all-sky images taken during the time period of 1973–1997 at camera stations centred around Sodankylä observatory in northern Finland. In each image there is a clock display for the date and time together with the reflection of the whole night sky through a spherical mirror. The digitised film images of the night sky contain valuable scientific information but are impractical to use without an automatic method for extracting the date–time from the display. We describe the implementation and the results of such a method in detail in this paper.
ISSN:2193-0864
2193-0856
2193-0864
DOI:10.5194/gi-5-305-2016