Abstract
Images where the “on” pixels are spatially spread are named “sparse images”. Their analysis cannot be performed usually in a standard fashion and requires new methodologies. The paper aims at showing some of the techniques used in order to analyze “sparse images”. Results of their application on simulated and real data are also given.
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© 1987 Springer-Verlag Berlin Heidelberg
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Di Gesù, V. (1987). Problems and Possible Solutions in the Analysis of Sparse Images. In: Devijver, P.A., Kittler, J. (eds) Pattern Recognition Theory and Applications. NATO ASI Series, vol 30. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-83069-3_22
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DOI: https://doi.org/10.1007/978-3-642-83069-3_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-83071-6
Online ISBN: 978-3-642-83069-3
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