Title | ||
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Texture Classification with Generalized Fourier Descriptors in Dimensionality Reduction Context: An Overview Exploration |
Abstract | ||
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In the context of texture classification, this article explores the capacity and the performance of some combinations of feature extraction, linear and nonlinear dimensionality reduction techniques and several kinds of classification methods. The performances are evaluated and compared in term of classification error. In order to test our texture classification protocol, the experiment carried out images from two different sources, the well known Brodatz database and our leaf texture images database. |
Year | DOI | Venue |
---|---|---|
2008 | 10.1007/978-3-540-69939-2_27 | Lecture Notes in Computer Science |
Keywords | Field | DocType |
feature extraction,texture classification,classification method,texture classification protocol,brodatz database,different source,generalized fourier descriptors,overview exploration,dimensionality reduction context,leaf texture images database,classification error,nonlinear dimensionality reduction technique,nonlinear dimensionality reduction | Dimensionality reduction,Pattern recognition,Computer science,Feature extraction,Fourier transform,Artificial intelligence,Nonlinear dimensionality reduction,Machine learning | Conference |
Volume | ISSN | Citations |
5064 | 0302-9743 | 3 |
PageRank | References | Authors |
0.53 | 20 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ludovic Journaux | 1 | 15 | 5.86 |
Marie-France Destain | 2 | 4 | 2.02 |
Johel Miteran | 3 | 80 | 7.94 |
Alexis Piron | 4 | 3 | 0.53 |
Frederic Cointault | 5 | 16 | 4.79 |