基于非采樣contourlet變換和圖論的醫(yī)學(xué)圖像侵害

基于非采樣contourlet變換和圖論的醫(yī)學(xué)圖像侵害

ID:32146899

大?。?.88 MB

頁數(shù):41頁

時間:2019-01-31

基于非采樣contourlet變換和圖論的醫(yī)學(xué)圖像侵害_第1頁
基于非采樣contourlet變換和圖論的醫(yī)學(xué)圖像侵害_第2頁
基于非采樣contourlet變換和圖論的醫(yī)學(xué)圖像侵害_第3頁
基于非采樣contourlet變換和圖論的醫(yī)學(xué)圖像侵害_第4頁
基于非采樣contourlet變換和圖論的醫(yī)學(xué)圖像侵害_第5頁
資源描述:

《基于非采樣contourlet變換和圖論的醫(yī)學(xué)圖像侵害》由會員上傳分享,免費在線閱讀,更多相關(guān)內(nèi)容在學(xué)術(shù)論文-天天文庫。

1、山東大學(xué)碩士學(xué)位論文ABSTRACTImagesegmentationistheimportantpartinimageprocessingtechnology.Withthedevelopmentoftheinformationtechnology,Medicalimagesegmentationplaysamoreandmoreimportantroleinmedicalapplications.Medicalimagealgorithmefficiencyhasimportanttheoreticalresearchmeaningandcommercialva

2、lue.Inmedicalimages,thereoftenwillbeunnecessarynoisedistributioninfocalregion;thiswillincreasethedifficultyofthedoctortoaccuratelydiagnosisthedisease.Whenthemedicalimageusingageneralsegmentationmethodtosegmentmedicalimage,usuallyneedtodenoisetheimagefirstly,butthedenoiseprogresswillmak

3、ethesegmentationprocesstimelonger,thisrestricttheapplicationofmedicalimagesegmentationtechnology.Fortheabovephenomenon,thispaperproposesthemedicalimagesegmentationbasedonnon—subsampledContourlettransform(NSCT)andgraphtheory.Firstly,usenon—subsampledContourlettransformtheimage,gettheCon

4、tourletcoefficientofmultiscaleanddirectionalinformation.Non—subsampledContourlettransformisdecomposedfastalgorithmofimagewiththedirectionandwiththeshiftinvariance.Imagesegmentationbasedongraphtheoryisahottopicthisyear,becausethegraphtheoryisamaturetheoryinresearchandapplicationrelative

5、ly,thispapermainlyintroducestwokindsofsegmentationmethodbasedonGraphTheory:normalizedcutsegmentationandisoperimetricsegmentationmethod,becausethecuttingmethodbasedonGraphTheoryisgenerallyalargeamountofcalculation,andaffectedbynoise,SObeforethesegmentation,weusingNon-subsampledContourle

6、ttransformextractthelow-frequencyinformationoftheimage,researchshowsthat,thelowfrequencycoefficientsretainthemostoftheinformationintheimage,theunnecessarynoiseisfiltering,anditreducestheredundantinformationinimage.Sointheflowingsegmentationprocess,wecansavealotoftime,andgetagoodsegment

7、ationresults.Theproposedalgorithmisverifiedinthespecialtyofmedicalimage.The山東大學(xué)碩士學(xué)位論文experimentalresultsshowthat,theproposedalgorithmobtainedgoodresultsandgreatlyshortentheprocessingtime,whichhasanimportantsignificanceinpracticalapplication.Theexperimentalresultsshowthat,therecogniti

當前文檔最多預(yù)覽五頁,下載文檔查看全文

此文檔下載收益歸作者所有

當前文檔最多預(yù)覽五頁,下載文檔查看全文
溫馨提示:
1. 部分包含數(shù)學(xué)公式或PPT動畫的文件,查看預(yù)覽時可能會顯示錯亂或異常,文件下載后無此問題,請放心下載。
2. 本文檔由用戶上傳,版權(quán)歸屬用戶,天天文庫負責(zé)整理代發(fā)布。如果您對本文檔版權(quán)有爭議請及時聯(lián)系客服。
3. 下載前請仔細閱讀文檔內(nèi)容,確認文檔內(nèi)容符合您的需求后進行下載,若出現(xiàn)內(nèi)容與標題不符可向本站投訴處理。
4. 下載文檔時可能由于網(wǎng)絡(luò)波動等原因無法下載或下載錯誤,付費完成后未能成功下載的用戶請聯(lián)系客服處理。