Computing negentropy based signatures for texture recognition
Keywords:
texture recognition, Independent Component Analysis, negentropy, Minkowski distance
Abstract
The proposed method aims to provide a new tool for texture recognition. For this purpose, a set of texture samples are decomposed by using the FastICA algorithm and characterized by a negentropy based signature. In order to do recognition, the texture signatures are compared by means of Minkowski distance. The recognition rates, computed for a set of 320 texture samples, show a medium recognition accuracy and the method may be further improved.
Published
2007-11-29
How to Cite
1.
Lungu A-E, Coltuc D, Frangu L. Computing negentropy based signatures for texture recognition. The Annals of “Dunarea de Jos“ University of Galati. Fascicle III, Electrotechnics, Electronics, Automatic Control, Informatics [Internet]. 29Nov.2007 [cited 17May2024];30:47-2. Available from: https://www.gup.ugal.ro/ugaljournals/index.php/eeaci/article/view/671
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Section
Articles
@ "Dunarea de Jos" University of Galati
