Presentation 2007-02-22
A Study on Accurate Image Clustering Using Color Edges
Takashi WATANABE, Miki HASEYAMA,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper proposes a similar image clustering method. We have proposed a image clustering scheme using image structures and quadratic form distances between color histograms. However, since this scheme cannot effectively utilize the distribution of colors within the target images, misclassification of these images is inevitable. In order to utilize these features more effectively, the proposed method classifies the images by the K-means algorithm based on distances between color correlograms, which can be utilized for describing the relationship of colors to spatial distances. Furthermore, by reconstructing clusters based on colors at the edges and their neighborhoods, the accurate image clustering can be realized.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) similar image clustering / color correlogram / edge
Paper # ITS2006-44,IE2006-229
Date of Issue

Conference Information
Committee IE
Conference Date 2007/2/15(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Image Engineering (IE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study on Accurate Image Clustering Using Color Edges
Sub Title (in English)
Keyword(1) similar image clustering
Keyword(2) color correlogram
Keyword(3) edge
1st Author's Name Takashi WATANABE
1st Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University()
2nd Author's Name Miki HASEYAMA
2nd Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University
Date 2007-02-22
Paper # ITS2006-44,IE2006-229
Volume (vol) vol.106
Number (no) 536
Page pp.pp.-
#Pages 4
Date of Issue