Computing negentropy based signatures for texture recognition

Authors

  • Ana-Elena Lungu “Dunarea de Jos” University of Galati
  • Daniela Coltuc Politehnica University of Bucharest
  • Laurenţiu Frangu “Dunarea de Jos” University of Galati

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.

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Published

2007-11-29

Issue

Vol. 30 (2007)

Section

Articles

License

@ "Dunarea de Jos" University of Galati

How to Cite

1.
Computing negentropy based signatures for texture recognition. EEAI [Internet]. 2007 Nov. 29 [cited 2026 Nov. 2];30:47-52. Available from: https://ojs.ugal.ro/index.php/eeaci/article/view/671

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