Application study of improved k-means clustering algorithm in image retrieval
Yanhong Liu · Computer Engineering and Applications Journal · 2011
In order to quickly and correctly retrieve the desired image from a large image database,a method combining the image feature index library and the average area histogram is presented.Adopting the image feature index database,it can reduce the number of visiting to the image database,and achieve fast retrieval.Using the average size histogram,it enhances the ability of distinguishing the spatial differences,which makes the search results better matching the human visual experi-ence.The experimental results also show that the proposed method improves the speed and accuracy of image retrieval.