Novel Image Retrieval Method of Improved K-means Clustering Algorithm

The drawbacks of image retrieval based on K-means clustering algorithm were analyzed,and a novel image retrieval method of an improved K-means algorithm was presented in this paper.Firstly,it computers the Euclidean distance of every two color histogram features of all color histogram features in the image feature database.Secondly,it puts the matched condition feature vectors as the initial class centers of the K-means,which is based on the theory "The closer the two objects,the greater the similarity".Finally,it starts image retrieval.Experimental results demonstrate that proposed method is efficient.