Presentation	1999/6/9 Image Segmentation by using Multi-Resolution Self-Organized Clustering Arata Satou, Yoshikazu Miyanaga, Norinobu Yoshida,
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Abstract(in English)	This report presents new image segmentation method. The method is based on a self-organized clustering mechanism. In this mechanism, a gray scale value and a location of each pixel are analyzerd. Using the self-organized clustering, some cluster nodes are evalutad. These are recognyzed as segmented reguons. if only a give image is analyzed, come errors happens because of various disturbance and noise. In order to improve the segmentation accuracy, this method applys several low resolution images which are yielded from the original image by using multi-resolution analysis.
Keyword(in Japanese)	(See Japanese page)
Keyword(in English)	Self-Organized Clustering / Region Segmentation
Paper #	VLD99-10
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Conference Information
Committee	VLD
Conference Date	1999/6/9(1days)
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Paper Information
Registration To	VLSI Design Technologies (VLD)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Image Segmentation by using Multi-Resolution Self-Organized Clustering
Sub Title (in English)
Keyword(1)	Self-Organized Clustering
Keyword(2)	Region Segmentation
1st Author's Name	Arata Satou
1st Author's Affiliation	Graduate School of Engineering, Hokkaido University()
2nd Author's Name	Yoshikazu Miyanaga
2nd Author's Affiliation	Graduate School of Engineering, Hokkaido University
3rd Author's Name	Norinobu Yoshida
3rd Author's Affiliation	Graduate School of Engineering, Hokkaido University
Date	1999/6/9
Paper #	VLD99-10
Volume (vol)	vol.99
Number (no)	106
Page	pp.pp.-
#Pages	6
Date of Issue