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一种结合分形编码的图像检索算法
引用本文:张红霞,马燕,时书剑,张元海. 一种结合分形编码的图像检索算法[J]. 微计算机信息, 2007, 23(15): 289-290
作者姓名:张红霞  马燕  时书剑  张元海
作者单位:200234,上海,上海师范大学计算机系
摘    要:为了更有效、更准确地进行的图像检索,在迭代函数系统收敛速度理论和拼贴定理的基础上,提出了一种结合分形编码进行基于内容的图像检索方法,即把查询图像的分形码应用于图像库中的图像进行分形迭代,然后将得到的图像与查询图像进行相似匹配,在检索正确率和检索速度方面,优于实验中其他方法。实验证明了该算法的有效性和可行性。

关 键 词:分形编码  迭代函数系统  基于内容的图像检索
文章编号:1008-0570(2007)05-3-0289-02
修稿时间:2007-03-03

A New Method of Texture-Based Image Retrieval Combining Fractal Coding
ZHANG HONGXIA,MA YAN,SHI SHUJIAN,ZHANG YUANHAI. A New Method of Texture-Based Image Retrieval Combining Fractal Coding[J]. Control & Automation, 2007, 23(15): 289-290
Authors:ZHANG HONGXIA  MA YAN  SHI SHUJIAN  ZHANG YUANHAI
Affiliation:ZHANG HONGXIA MA YAN SHI SHUJIAN ZHANG YUANHAI
Abstract:Based on the theory of the speed of convergence for iterative function system and Collage theorem, a new approach of content-based image retrieval combining fractal coding is proposed to retrieve images effectively in this paper. The fractal codes of the query image is applied and iterated on the images in the database. The iterated image is matched with the query image. The proposed method is better than other methods in accuracy and speed. The experiments show that the proposed method is effective and feasible.
Keywords:Fractal Coding  Iterative Function System  Content-based Image Retrieval
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