A SIMILAR IMAGE CLUSTERING METHOD INCLUDING AUTOMATIC SELECTION OF NUMBER OF CLUSTERS(International Workshop on Advanced Image Technology 2006)

概要

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This paper proposes an image clustering method which includes an automatic cluster-number setting scheme. By using the proposed method, the user can effectively categorize similar images existing in an image database without presetting the total number of categories. Actually, the proposed method is based on a k-means algorithm which utilizes a color histogram of each image as a feature vector, and the number of the cluster is determined, according to the variation of the average of the clustering error in several number of the clusters. Consequently, the proposed method can automatically select the suitable number of the clusters for the image database, and then it provides the accurate image clustering result. Some experimental results show the proposed method achieves accurate clusterings.
社団法人電子情報通信学会の論文
2006-01-03