Research on Retrieving Image Resource Technique Based on Bayes Semantic Classification and Visual Feature Extraction
Jie Hou · Journal of Xinjiang Normal University · 2012
A image retrieval method was proposed based on feature extracted in DCT and semantic classification by bayes.Firstly,Semantic need for retrieving digital image was studied,and Simple Bayesian Classifier was used in semantic classification of image resource;Secondly,improved image feature of edge space distribution probability based on DCT is extracted to obtain edge information of goal object and set up 20 Eigen values.Thirdly,indexing feature vectors are obtained through semantic classification for semantic filtration,by which the retrieval efficiency is improved.With experiment,image resource database is established and the proposed algorithm shown better result by experiment on precision comparison compared with other methods.