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2011 | 21 | 4 | 757-767
Tytuł artykułu

Partitioned iterated function systems with division and a fractal dependence graph in recognition of 2D shapes

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
One of the approaches in pattern recognition is the use of fractal geometry. The property of self-similarity of fractals has been used as a feature in several pattern recognition methods. All fractal recognition methods use global analysis of the shape. In this paper we present some drawbacks of these methods and propose fractal local analysis using partitioned iterated function systems with division. Moreover, we introduce a new fractal recognition method based on a dependence graph obtained from the partitioned iterated function system. The proposed method uses local analysis of the shape, which improves the recognition rate. The effectiveness of our method is shown on two test databases. The first one was created by the authors and the second one is the MPEG7 CE-Shape-1PartB database. The obtained results show that the proposed methodology has led to a significant improvement in the recognition rate.
Rocznik
Tom
21
Numer
4
Strony
757-767
Opis fizyczny
Daty
wydano
2011
otrzymano
2010-10-29
poprawiono
2011-04-17
Twórcy
  • Institute of Computer Science, University of Silesia, Będzińska 39, 41-200 Sosnowiec, Poland
  • Institute of Computer Science, University of Silesia, Będzińska 39, 41-200 Sosnowiec, Poland
Bibliografia
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  • Gdawiec, K. (2009b). Local Fractal Analysis in Recognition of 2D Shapes, Ph.D. thesis, University of Silesia, Sosnowiec, (in Polish).
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Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.bwnjournal-article-amcv21i4p757bwm
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