关键词: 分形编码, 图像熵, 图像检索, 迭代函数系统

Abstract: 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 coding.First，each image in the database is classified in computing information entropy compared with a given threshold.Second，the query image’s fractal coding is got with Jacquin method，which is applied to the same kind of database images as initial image with fractal iteration decoding.Finally，image retrieval result is got 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.

Key words: fractal coding, image information entropy, image retrieval, iterated function system