A fast contour descriptor algorithm for supernova imageclassification
Description:
We describe a fast contour descriptor algorithm and its application to a distributed supernova detection system (the Nearby Supernova Factory) that processes 600,000 candidate objects in 80 GB of image data per night. Our shape-detection algorithm reduced the number of false positives generated by the supernova search pipeline by 41% while producing no measurable impact on running time. Fourier descriptors are an established method of numerically describing the shapes of object contours, but tr…
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Date:
July 16, 2006
Creator:
Aragon, Cecilia R. & Aragon, David Bradburn
Partner:
UNT Libraries Government Documents Department