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基于小波变换的低频分量图像检索研究
引用本文:曾宪文.基于小波变换的低频分量图像检索研究[J].计算机应用与软件,2007,24(1):129-131.
作者姓名:曾宪文
作者单位:上海电机学院电子信息学院,上海,200240
摘    要:图像检索是图像数据库的最基本功能,传统检索技术对图像数据库来说存在很大的局限性,图像的检索应采用基于图像内容本身的检索方式,目前流行的各种图像匹配技术主要针对特征明显的图像,需要图像先验知识,缺乏广泛性.分析了传统的模板匹配技术,采用小波变换技术抽取图像低频分量为逻辑对象,利用改进的模板匹配技术进行检索,实验结果表明可大大减少计算量,提高检索效率.

关 键 词:小波变换  低频  图像检索  模板匹配  小波变换  低频分量  图像内容  检索研究  FREQUENCY  LOWER  WAVELET  TRANSFORM  BASED  IMAGE  检索效率  计算量  结果  实验  改进  利用  逻辑对象  抽取  变换技术  模板  分析
修稿时间:2006-07-12

A STUDY OF IMAGE RETRIEVING BASED ON WAVELET TRANSFORM OF LOWER FREQUENCY PART
Zeng Xianwen.A STUDY OF IMAGE RETRIEVING BASED ON WAVELET TRANSFORM OF LOWER FREQUENCY PART[J].Computer Applications and Software,2007,24(1):129-131.
Authors:Zeng Xianwen
Affiliation:Electrical Information School,Shanghai Dianji University, Shanghai 200240, China
Abstract:Image searching is the most essential function of the image database.Traditional database searching techniques are very limited for image database.Image Searching should be based on image content,but current various kinds of image matching techniques are mostly suitable for defferent kinds of images' features,which are lack of Extensiveness.This paper analyzed traditional template matching technique,and use wavelet to get lower frequency of image as logic object,and then matching images with improved template matching technique,thus decrease calculating greatly after expriments.
Keywords:Wavelet transform Lower frequency Image searching Template matching
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