A Color Based Image Retrieval Method

Abstract:

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

• Periodical: Applied Mechanics and Materials (Volumes 236-237)
• Pages: 1178-1183
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.236-237.1178
• Online since: November 2012
• Authors: Zuo Jin Hu, Yu Quan Jiang
• Keywords: Cluster, Color Feature, Content Based Image Retrieve, Moments Features

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