基于颜色和形状特征的图像检索.docx

基于颜色和形状特征的图像检索
摘要
图像检索已经成为图像处理领域的一个热门研究方向。在实际应用中，准确地检索图像可以提高工作效率和决策精度。本文提出了一种基于颜色和形状特征的图像检索方法，通过将输入图像与数据库中相似图像进行比较，找到最匹配的图像。本方法使用颜色直方图和形状描述符来表示图像的特征。通过实验测试，证明了本方法的有效性和准确性。
关键词：图像检索、颜色特征、形状特征、颜色直方图、形状描述符
Introduction
Withtherapiddevelopmentofdigitalization,theamountofimagedatahasexplodedinthepastfewdecades.Aneffectiveandefficientimageretrievalmethodhasbecomeimperativeforimageprocessingandanalysis.Imageretrievalaimstofindthesimilarimage(s)inthedatabaseforagivenqueryimage.Therearevariousmethodstoachievethisobjective,includingtext-basedsearch,content-basedsearch,andhybridapproach.Amongthem,content-basedimageretrieval(CBIR)methodshavebeenthefocusofcurrentresearchsincetheyaremoreappropriateforimageswithouttextualinformation.
Inthispaper,weproposeacolorandshape-basedimageretrievalmethod.Theproposedmethodrepresentstheimagefeaturewithcolorhistogramandshapedescriptor.Experimentshavebeenconductedtoverifytheproposedmethod'seffectivenessandaccuracy.
Overviewoftheproposedmethod
Theproposedmethodconsistsoffourmainsteps:imagepreprocessing,featureextraction,similaritymeasurement,andretrieval.TheflowchartoftheproposedmethodisshowninFigure1.
[image-1]
Figure1.Flowchartoftheproposedmethod.
1.ImagePreprocessing
Theinputimageisfirstresizedtoastandardsizetoeliminatetheeffectofdifferentimagesizesonimageretrieval.Then,weconverttheimagefromRGBcolorspacetotheHSIcolorspace,whichismoresuitableforcoloranalysis.
2.FeatureExtraction
2.1ColorFeatureExtraction
Weextractthecolorfeaturebyconstructingthecolorhistogram.Thecolorhistogramrepresentsthedistributionofimagepixelsinthecolorspace.Inourapproach,wedividetheHSIcolorspaceintoseveralbinsandcountthenumberofpixelsineachbin.Figure2showsthecolorhistogramofanexampleimage.
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Figure2.Colorhistogramofanexampleimage.
2.2ShapeFeatureExtraction
Weuseshapedescriptorstocapturetheglobalshapeinformationoftheobjectintheimage.Inthispaper,weextracttheshapefeaturebyusingtheFourierdescriptor.TheFourierdescriptordecomposesthecontourshapeintoaseriesoftrigonometri