Image retrieval algorithm based on texture and Gaussian density feature
Zikun Liu · Jisuanji gongcheng yu sheji · 2008
To improve efficiency of the image retrieval,the techniques of the direct feature extraction in DCT domain are extensively emphasized.A new algorithm for compressed image retrieval is proposed based on Gaussian density feature(GDF).This algorithm directly extract Gaussian density of 8 direction from compressed image data to construct a 2-dimention array(8*4) as an indexing key to retrieve images based on their content features and texture feature.To test and evaluate the proposed algorithms,experiments with a database of 10 000 images are carried out.In comparison with existing representative techniques,the experimental results show the su-periority of the proposed method in terms of retrieval precision and processing speed.