Presentation	2001/1/12 IFS Image Segmentation using Pixel Multiplicity Kenta Kakumitsu, Mitsuhiko Fujio,
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Abstract(in English)	We propose an IFS image segmentation by using pixel multiplicity. IFS image segmentation uses the fractal code and can be realized without decoding original image. Some techniques of IFS image segmentation is proposed. They use property of the image generated by repeating the inverse mappings of the contractive affine transformations used for IFS coding. A suitable clustering of the image is important for better segmentation. They only use location data of pixels for LBG algorithm. To repeat expanding inverse mappings causes overlapping of pixels then it generates multiplicity of pixels. In this paper, we use for multiplicity in clustering.
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Keyword(in English)	fractal coding / segmentation / magnification map / LBG algorithm
Paper #	PRMU2000-176
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Conference Information
Committee	PRMU
Conference Date	2001/1/12(1days)
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Paper Information
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)	IFS Image Segmentation using Pixel Multiplicity
Sub Title (in English)
Keyword(1)	fractal coding
Keyword(2)	segmentation
Keyword(3)	magnification map
Keyword(4)	LBG algorithm
1st Author's Name	Kenta Kakumitsu
1st Author's Affiliation	Kyushu Institute of Technology, Dept.of Infomation Science()
2nd Author's Name	Mitsuhiko Fujio
2nd Author's Affiliation	Kyushu Institute of Technology, Dept.of Infomation Science
Date	2001/1/12
Paper #	PRMU2000-176
Volume (vol)	vol.100
Number (no)	566
Page	pp.pp.-
#Pages	6
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