Deutsch
Nassabay, S. and Keck, I. R. and Puntonet, Carlos G. and 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).
Full text not available from this repository.
Other URL: http://www.springerlink.com/content/075478542m5u4653/fulltext.pdf
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.
| Item Type: | Book Section |
|---|---|
| Institutions: | Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang |
| Subjects: | 500 Science > 570 Life sciences |
| Status: | Published |
| Refereed: | Unknown |
| Created at the University of Regensburg: | Unknown |
| Owner: | Gertraud Kellers |
| Deposited On: | 28 Sep 2010 08:17 |
| Last Modified: | 28 Sep 2010 08:17 |
| Item ID: | 16854 |
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