基于互補(bǔ)特征的紋理圖像檢索

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1、基于互補(bǔ)特征的紋理圖像檢索摘要:針對(duì)互補(bǔ)特征可以有效地改善圖像檢索系統(tǒng)性能的特點(diǎn)，提出一種在改進(jìn)contourlet變換域采用l1能量與廣義高斯分布參數(shù)特征的紋理圖像檢索方法。首先，應(yīng)用改進(jìn)的方法對(duì)方向子帶系數(shù)進(jìn)行廣義高斯統(tǒng)計(jì)建模。然后，分別單獨(dú)利用各個(gè)特征和相應(yīng)的相似性測度進(jìn)行檢索。最后，基于直接的相似性測度和，采用這兩種互補(bǔ)的特征進(jìn)行檢索。實(shí)驗(yàn)結(jié)果表明，和采用單一特征相比較，互補(bǔ)特征由于充分地反映了圖像的結(jié)構(gòu)信息和隨機(jī)分布信息，從而有效地提高了紋理圖像數(shù)據(jù)庫的平均檢索率。關(guān)鍵詞:改進(jìn)的contourlet變換；建模；l1能量

2、；廣義高斯分布；互補(bǔ)特征；紋理圖像檢索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