Presentation	1997/11/21 Plant Image Indexing for Content-based Retrieval Kazuyoshi KANAYAMA, Toshio KAWASHIMA, Yoshinao AOKI,
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Abstract(in English)	Most image database retrieve images based on global similalities of macroscopic characteristics such as colors, textures and global shapes of textured area. However, the actual image query is to find a certain class of objects from the pictures which have various backgrounds. In this paper, we have studied the indexing method of flower pictures using object specific characteristics of the image.
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Keyword(in English)	image database / indexing / plant images
Paper #	PRMU97-172
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Conference Information
Committee	PRMU
Conference Date	1997/11/21(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)	Plant Image Indexing for Content-based Retrieval
Sub Title (in English)
Keyword(1)	image database
Keyword(2)	indexing
Keyword(3)	plant images
1st Author's Name	Kazuyoshi KANAYAMA
1st Author's Affiliation	Graduate School of Engineering, Hokkaido University()
2nd Author's Name	Toshio KAWASHIMA
2nd Author's Affiliation	Graduate School of Engineering, Hokkaido University
3rd Author's Name	Yoshinao AOKI
3rd Author's Affiliation	Graduate School of Engineering, Hokkaido University
Date	1997/11/21
Paper #	PRMU97-172
Volume (vol)	vol.97
Number (no)	387
Page	pp.pp.-
#Pages	8
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