Image Retrieval Method Using Entropy and Fractal Image Coding
Lifeng Xi · Journal of Zhejiang Wanli University · 2008
Describing and extracting image's feature is a key question in content-based image retrieval system,this paper puts forward a new image retrieval method using image information entropy and fractal IFS coding.First,each of image in the database is classified by computing information entropy which is compared with a given threshold.Second,the query image's fractal coding is obtained with Jacquin method,which is applied to the same kind of database images with fractal iteration decoding.Finally,the image retrieval result is obtained by matching the similar distance of the query image and the iterated decoding image.Experimental results show that,compared with the direct image pixels similar matching method,our scheme improves the retrieval time greatly and guarantees the retrieval accuracy,thus our proposed method is effective and feasible.