基于互补特征的纹理图像检索

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1、基于互补特征的纹理图像检索摘要:针对互补特征可以有效地改善图像检索系统性能的特点，提出一种在改进contourlet变换域采用l1能量与广义高斯分布参数特征的纹理图像检索方法。首先，应用改进的方法对方向子带系数进行广义高斯统计建模。然后，分别单独利用各个特征和相应的相似性测度进行检索。最后，基于直接的相似性测度和，采用这两种互补的特征进行检索。实验结果表明，和采用单一特征相比较，互补特征由于充分地反映了图像的结构信息和随机分布信息，从而有效地提高了纹理图像数据库的平均检索率。关键词:改进的contourlet变换；建模；l1能量

2、；广义高斯分布；互补特征；纹理图像检索textureimageretrievalbasedoncomplementaryfeaturesquhuai.jing*schoolofinformationandelectricengineering,shandongjianzhuuniversity,jinanshandong250101,chinaabstract:becausetheperformanceoftheimageretrievalsystemcouldbeeffectivelyimprovedusingthecomplem

3、entaryfeatures,aretrievalmethodofthetextureimageusingl1energyandgeneralizedgaussiandistributionparameterfeatureswasproposedintheimprovedcontourlettransformdomain.firstly,thedirectionalsubbandcoefficientsweremodeledasgeneralizedgaussiandistributionusinganimprovedapproach

4、.then,thetextureimageswererespectivelyretrievedbasedonthesinglefeatureandthecorrespondingsimilaritymeasurement.lastly,usingthecomplementaryfeaturesandthedirectsummationoftheirsimilaritymeasurements,thetextureimageswereretrieved.theexperimentalresultsshowthat,comparedwithsi

5、nglefeature,theaverageretrievalratesofthetextureimagedatabaseareeffectivelyimprovedbythecomplementaryfeaturesduetofullyrepresentingthestructuralinformationandtherandomdistributioninformation.becausetheperformanceoftheimageretrievalsystemcouldbeeffectivelyimprovedbyusingthe

6、complementaryfeatures,aretrievalmethodofthetextureimageusingl1energyandgeneralizedgaussiandistributionparameterfeatureswasproposedintheimprovedcontourlettransformdomain.firstly,thedirectionalsubbandcoefficientswentthroughgeneralizedgaussianmodelingwithanimprovedapproach

7、.then,thetextureimageswererespectivelyretrievedbasedonthesinglefeatureandthecorrespondingsimilaritymeasurement.lastly,usingthecomplementaryfeaturesandthedirectsummationoftheirsimilaritymeasurements,thetextureimageswereretrieved.theexperimentalresultsshowthat,comparedwithsi

8、nglefeature,theaverageretrievalratesofthetextureimagedatabaseareeffectivelyimprovedbythec