Nassabay, S., Keck, I. R., Puntonet, Carlos G., Clemente, R. M. and Lang, Elmar (2007) Automatic detection of filters in images with gaussian noise using independent component analysis. In: Sandoval, F., (ed.) Computational and Ambient Intelligence. 9th International Work Conference on Artificial Neural Networks, IWANN 2007, San Sebastian, Spain, June 20 - 22, 2007 ; proceedings. Lecture notes in computer science, 4507. Springer, Berlin, pp. 692-699. ISBN 978-3-540-73006-4 (Printausgabe), 978-3-540-73007-1(e-book).
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Abstract
In this article we present the results of a study carried out using the popular fastica algorithm applied to the detection of filters in natural images in gray-scale, contaminated with gaussian noise. The detection of filters has been accomplished by using the statistical distribution measures kurtosis and skewness.
Export bibliographical data
| Item type: | Book section |
|---|---|
| Date: | 2007 |
| Institutions: | Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang |
| Dewey Decimal Classification: | 500 Science > 570 Life sciences |
| Status: | Published |
| Refereed: | Unknown |
| Created at the University of Regensburg: | Unknown |
| Item ID: | 16854 |
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