Presentation 2003/3/7
Comparison study on discretization methods of the Fourier descriptor application to texture analysis
Souichirou Okita, Mitsuhiko Fujio, Akira Asano,
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Abstract(in English) Fourier descriptor, which extracts shape characteristics of plain curves, has an ability of approximating an original curve by reconstruction using low-frequency components. Although the Fourier descriptor is originally defined forcontinuous curves, several methods of its discretization have been proposed since practical image processing treats quantized curves. The influence of the quantization is large for small objects. In this paper, the influence of the discretizations investigated by comparing the quantization methods experimentally, in the case of describing elementary small objects in a texture. The result sggests thatggests that the P- and Z-descriptors, which consider the curvature, are superior to the G-descriptor, which regards a discretized curve as a point sequence.
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Keyword(in English) fburier descriptor / texture analysis / shape characteristic
Paper # PRMU2002-254
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Conference Information
Committee PRMU
Conference Date 2003/3/7(1days)
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Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Comparison study on discretization methods of the Fourier descriptor application to texture analysis
Sub Title (in English)
Keyword(1) fburier descriptor
Keyword(2) texture analysis
Keyword(3) shape characteristic
1st Author's Name Souichirou Okita
1st Author's Affiliation Faculty of Computer Science and Systems Engineering Kyusyu Institute of Technology()
2nd Author's Name Mitsuhiko Fujio
2nd Author's Affiliation Faculty of Integrated Arts and Sciences, Hiroshima University
3rd Author's Name Akira Asano
3rd Author's Affiliation Faculty of Integrated Arts and Sciences, Hiroshima University
Date 2003/3/7
Paper # PRMU2002-254
Volume (vol) vol.102
Number (no) 708
Page pp.pp.-
#Pages 6
Date of Issue