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11

ESANN
2003

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Neural Network Performances in Astronomical Image Processing

13 years 6 months ago

Neural Network Performances in Astronomical Image Processing

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In this paper we use neural networks to verify the similarity of real astronomical images to predeﬁned reference proﬁles. We use an innovative technique to encode images that associates each of them with its most convenient moments, evaluated along the {x, y} axes; in this way we obtain a parsimonious but eﬀective method with respect to the usual pixel by pixel description.

Rossella Cancelliere, Mario Gai

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Added	31 Oct 2010
Updated	31 Oct 2010
Type	Conference
Year	2003
Where	ESANN
Authors	Rossella Cancelliere, Mario Gai

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