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Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/10179

Title: Rotation invariant texture analysis using radon and fractional fourier transform
???metadata.dc.creator???: Mohammadi, Fakhordin
Gao, Junbin
Shi, Daming
Keywords: Texture classification
Radon transform
Fractional Fourier transform
Rotation invariant
Classificação de textura
Transformada de Radon
Transformada fracional de Fourier
Invariante à rotação
Publisher: Editora da UFLA
???metadata.dc.date???: 1-Dec-2014
Citation: MOHAMMADI, F.; GAO, J.; SHI, D. Rotation invariant texture analysis using radon and fractional fourier transform. INFOCOMP: Journal of Computer Science, Lavras, v. 13, n. 2, p. 1-9, Dec. 2014.
Abstract: In this paper we propose a new rotation invariant feature descriptor for texture classification and clustering via first identifying the so-called principal direction of textures with the well-known Radon transform and then extracting features defined by the fractional Fourier transform of different order from the rotated textures along their principal direction. The performance of the proposed method is evaluated using different kind of texture sets. Results show the advantage of the proposed method over some existing algorithms.
Other Identifiers: http://www.dcc.ufla.br/infocomp/index.php/INFOCOMP/article/view/390
???metadata.dc.language???: eng
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