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医学图像的特征自动提取及基于模糊特征的图像检索研究.docx

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医学图像的特征自动提取及基于模糊特征的图像检索研究 Abstract Medicalimageretrievalisasignificanttaskformedicalstaffsandresearcherstoquicklyaccessthecrucialmedicalinformationrequiredfordiagnosis,treatment,andresearch.Theconventionalmanualretrievalofmedicalimagedataisquitedauntingandtime-consuming.Inthisregard,automaticfeatureextractionandimageretrievaltechniquesprovideaneffectivesolution.Inthispaper,weprovideacomprehensivereviewofvarioustechniquesforautomaticfeatureextractionandmedicalimageretrieval.Theproposedmethodusesfuzzyfeatureextractionforimprovingtheaccuracyofimageretrieval.Theexperimentalresultsrevealthattheproposedmethodiscapableofachievingefficientretrievalwithhighaccuracy. Introduction Medicalimageretrievalhasemergedasasignificantresearchareainrecentyears,primarilyduetotheincreasinguseofmedicalimagingtechnologiessuchasCT,MRI,andX-raysinclinicaldiagnosisandtreatment.Medicalimageretrievalisaimedatprovidingfastandaccurateaccesstomedicalimagesthatserveasanessentialtoolfordiagnosis,treatment,andresearchpurposes.Thetraditionalmanualretrievalofmedicalimagesisquitetediousandtime-consuming. Theadventofthedigitaleraandthedevelopmentofpowerfulimageprocessingtechniqueshavemadeitfeasibletoretrieveimagesautomaticallyutilizingcomputeralgorithms.Automaticfeatureextractionandimageretrievalhelpinimprovingtheefficiencyofmedicalimageretrieval.Theprimaryaimofthispaperistoreviewsignificanttrendtechniquesforautomaticfeatureextractionandmedicalimageretrieval. Automaticfeatureextractionformedicalimages Automaticfeatureextractionisacrucialstepinmedicalimageretrieval.Accuratefeatureextractionhelpsindifferentiatingandclassifyingimagesbasedontheirsimilaritiesanddissimilarities.Varioustechniqueshavebeenproposedovertheyearsforextractingfeaturesfrommedicalimages,suchastexture-based,shape-based,andstatistical-basedfeatures. Texture-basedfeatureextractionmethodsareusefulforextractingtextureinformationfrommedicalimages.Textureanalysisisbasedontheidentificationofpatternsandstructurespresentinimages.Severalmethodslike