文章基本信息

标题：AN IMPROVED TECHNIQUE OF COLOR HISTOGRAM IN IMAGE CLUSTERING USING IMAGE MATTING
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作者：CATUR SUPRIYANTO ; RURI SUKO BASUKI ; GURUH FAJAR SHIDIK 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2013
卷号：51
期号：2
出版社：Journal of Theoretical and Applied
摘要：Image clustering is one of the applications of content based image retrieval. The purpose of image clustering is to group the object inside the images into different cluster. Using all color of images lead to reduce the accuracy of image clustering. Therefore, this research focuses on the color of the foreground in an image. Image matting has been proposed to subtract between foreground and background of an image. Then, the color histogram of foreground object was used as the feature in image clustering. By applying image matting, the accuracy of image clustering can be improved.
关键词：Content Based Image Retrieval; Image Clustering; Image Matting; Singular Value Decomposition