Presentation	2012-12-13 Color Image Segmentation by Using the CIEDE2000 Color-Difference Formula Yamato TSURUOKA, Mitsuhiko MEGURO,
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Abstract(in English)	To divide the regions to the other regions with same colors, we may use the clustering method known as K-means, ISODATA. Nevertheless, the color difference △E_ab used in the method is not good for human visual systems yet. Therefore, CIEDE2000 color difference formula was proposed for improving the color difference. We show the validity of image segmentation by using CIEDE2000 in some experimental results.
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Keyword(in English)	Image Segmentation / Clustering / CIEDE2000
Paper #	SIS2012-29
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Committee	SIS
Conference Date	2012/12/6(1days)
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Registration To	Smart Info-Media Systems (SIS)
Language	JPN
Title (in Japanese)	(See Japanese page)
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Title (in English)	Color Image Segmentation by Using the CIEDE2000 Color-Difference Formula
Sub Title (in English)
Keyword(1)	Image Segmentation
Keyword(2)	Clustering
Keyword(3)	CIEDE2000
1st Author's Name	Yamato TSURUOKA
1st Author's Affiliation	Depertment of Mathematical Information Engineering College of Industrial Technology Nihon University()
2nd Author's Name	Mitsuhiko MEGURO
2nd Author's Affiliation	Depertment of Mathematical Information Engineering College of Industrial Technology Nihon University
Date	2012-12-13
Paper #	SIS2012-29
Volume (vol)	vol.112
Number (no)	348
Page	pp.pp.-
#Pages	6
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