A Color Based Image Retrieval Method

By means of self-organizing clustering, a new color-based image retrieval method is proposed in the paper. According to the colors’ distributing information in the image, every pixel is assigned a weighing value and thus the initial number of clustering can be confirmed. Therefore, those weighed pix...

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Bibliographic Details
Published inApplied Mechanics and Materials Vol. 236-237; pp. 1178 - 1183
Main Authors Jiang, Yu Quan, Hu, Zuo Jin
Format Journal Article
LanguageEnglish
Published Zurich Trans Tech Publications Ltd 01.11.2012
Subjects
Content Based Image Retrieve
Cluster
Moments Features
Color Feature
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Summary:By means of self-organizing clustering, a new color-based image retrieval method is proposed in the paper. According to the colors’ distributing information in the image, every pixel is assigned a weighing value and thus the initial number of clustering can be confirmed. Therefore, those weighed pixels are clustered and the dominant colors’ statistical features are acquired. Based on the dominant colors spread in the image, the colors’ moment features are extracted to present their spatial features simultaneously. Therefore, the whole image’s content can be expressed from general statistic to partial distributing by the two kinds of features. The experiments verify the method mentioned above more efficiently than those ways based on color histogram
Bibliography:Selected, peer reviewed papers from the 2012 3rd International Conference on Information Technology for Manufacturing Systems (ITMS 2012), September 8-9, 2012, Qingdao, China
ISBN:3037855312
9783037855317
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.236-237.1178