河南理工大学毕业设计（论文）说明书摘要随着多媒体及网络技术的发展，互联网中的图像等多媒体信息的数量在迅速增加。如何在庞大的多媒体数据资源海洋中搜索到自己所需要的图像，随之成为一个函待解决的问题。近年来基于内容的图像检索技术己经成为了研究的热点，该技术具有传统文本检索方式所无法比拟的优越性，目前已被应用于多媒体通信、生物识别、知识产权保护等方面，具有广阔的发展前景。本课题设计了基于颜色特征的图像检索系统，该系统主要包括两个关键步骤：颜色特征的提取和相似度匹配。本文中首先采用应用广泛的HSV颜色空间来表示图像的颜色特征，对颜色分量进行非等间隔量化形成特征矢量；然后用欧式距离度量函数进行图像的相似性匹配；最后在MATLAB平台下编程实现了基于颜色特征的检索系统。根据用户输入的样本图像与图像库中的图像进行特征匹配，找出与样本图像距离比较小的若干幅图像，并按照图像之间的距离由小到大的顺序显示给用户。关键词：图像检索；直方图；颜色特征；MATLABI河南理工大学毕业设计（论文）说明书ABSTRACTWiththedevelopmentofmultimediatechnology,InInternetthenumberofimagesandothermultimediainformationintherapidlyincreasing.Howtolocatetheusefulimageinthevastmulti-mediaisagreattechnologyproblem.Inrecentyears,Content-basedimageretrievalhasbecomearesearchfocus,thetechnologyhasthesuperioritywhichthetraditionaltextretrievalmethodscannotmatch.Ithasbeenwidelyusedinmultimediacommunications,biometrics,intellectualpropertyprotectionandsoon,andhasbroadprospeetsfordevelopment.ThistopicisdesignedbasedColorImageRetrievalSystem,whichincludestwokeysteps:colorfeatureextractionandsimilaritymatching.InthisarticlewasfirstusedwidelyHSVcolorspacetorepresentcolorfeatureimage.Wecarriedoutcolorcomponentsquantificationofnon-intervaltoformfeaturevector;ThenusetheEuclideandistancemetricfunctiontomatchthesimilarityfunctionoftheimage.Finally,thissystemshouldbeimplementedundertheplatformoftheMATLABbyprogramming.Underuserinputsampleimagetoconductfeaturematchingwithimagewhichinlibraryimages.Inthissystem,Italsocanidentifytheimagesthathaveashortdistancetothesampleimages,Andinaccordancewiththedistancebetweentheimagesdisplayedtotheuserintheorderfromsmalltobig.Keywords：ImageRetrieval；HistogramAlgorithm；ColorFeatures；MATLABII河南理工大学毕业设计（论文）说明书目录摘要.......................................................................................................................IABSTRACT.........................................................................................................II1绪论...................................................................................................................11.1选题背景及现状....................................................................................11.2基于颜色特征图像检索的特点及发展趋势........................................21.3论文结构................................................................................................52颜色模型及转换...............................................................................................62.1概述........................................................................................................62.2颜色模型................................................................................................62.2.1RGB颜色模型.................................................................................62.2.2HSV颜色模型.................................................................................82.3颜色模型转换...................
