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Image Clustering using Color, Texture and Shape Features
( Azzam Sleit ),( Abdel Latif Abu Dalhoum ),( Mohammad Qatawneh ),( Maryam Al-sharief ),( Rawa`a Al-jabaly ),( Ola Karajeh ) 한국인터넷정보학회 2011 KSII Transactions on Internet and Information Syst Vol.5 No.1
Content Based Image Retrieval (CBIR) is an approach for retrieving similar images from an image database based on automatically-derived image features. The quality of a retrieval system depends on the features used to describe image content. In this paper, we propose an image clustering system that takes a database of images as input and clusters them using k-means clustering algorithm taking into consideration color, texture and shape features. Experimental results show that the combination of the three features brings about higher values of accuracy and precision.