A Novel Image Retrieval Method Based on Keyblock
Zhou Li-hua · ACTA PHOTONICA SINICA · 2007
Content-based image retrieval(CBIR) came from text information retrieval(TIR),but many technologies in TIR can′t be used in CBIR because of the feature difference of both.In order to effectively use existing test information retrieval methods in content-based image retrieval,a novel image retrieval method based on keyblock is presented incorporating the different sensitivity along variant directions of human visual system and block truncation coding(BTC).Firstly,the image is divided into equally sized blocks from which the image keybolcks are extracted by use of the method of BTC according to the different direction of the texture distribution.Then,the method of TIR is used in the image retrieval.After that,an improved method based on the weighted histogram is proposed because the frequency of different kinds of keyblocks in the image has different influence on the image.The method can achieved a higher efficiency because of integrating spatial distribution information and edge distribution information into image descriptor.Experimental results have shown that the proposed method has sound and robust retrieval performance especially for the images with the abundant texture information and edge information.