基于模糊度的数字图像处理方法研究

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1、武汉工业学院硕士学位论文基于模糊度的数字图像处理方法研究姓名：黄秋鸣申请学位级别：硕士专业：机械设计及理论指导教师：同小军20070601ABSTRACTDigitalimageprocessingisacourseinwhichwetransfertheimagesignaltodigitalsignalandprocessitbycomputer.Asaresultofagreatdealoffuzzyfactors,thefuzzysystemtheoryhasbeenusedinthefieldofimageprocessingasamethodofd

2、escribinganddealingwiththephenomenaandthingwhichareofuncertainty.1.Theentropyisanimportantfactortoestimatewhethertheimageisbasicallythesamewiththeoriginalimage.Usually,whentheresolutionissmall,theclearnessincreasesrapidlyandtheentropydecreasesrapidlyastheresolutionincreases.Whenther

3、esolutionincreasestosomeextent,thehighertheresolutionis,themoresimilarthedigitalimageistotheoriginalone.ItistheS-typefunction.Weestablishthefuzzysetsandthemembershipfunctionwhichcanbeconsistentwiththedefinitionbythegraydegreeoftheblackandwhiteimage.TheentropyiscalculatedbyShannonEnt

4、ropy.Foraseriesofresolution,theentropyofthefuzzysetscanbegotwhichcanreflectthedefinitonoftheimage.TherelationbetweentheentropyandtheresolutioncanbeconstructedbyLogisticpredictingmodel.Theentropyofanoriginalimagecanbepredictedbytherelation.2.Imagesegmentationisthecourseinwhichtheobje

5、ctorinterestedareasareabstractedfromtheinputimage.Therearemanymethodsofimagesenmentationandthethresholdmethodisasimpleandpracticalone.EntropyinfuzzysetstheoryisintroducedintodigitalimageIIsegmentation.Accordingtothefuzzycharacterplane，firstlywegetthesegmentationthresholdwhenthefuzzy

6、bandwidthisgivenbasedonthemaximalentropyprinciple.Thetraditionalbinarysegmentationisdevelopedtomulti-valuefuzzysegmentationandmodificationofthresholdismadebasedonmulti-valuefuzzysegmentation.KeyWords:digitalimage,resolution,entropy,Logisticmodel,fuzzybandwidth,thresholdsegmentationI

7、II论文独创性声明本人郑重声明：所呈交的学位论文，是本人在导师的指导下，独立进行研究工作所取得的成果，除文中已经注明引用的内容外，本论文不含任何其他个人或集体已经发表或撰写过的研究成果，也不包含为获得武汉工业学院或其它教育机构的学位或证书而使用过的材料。对本文的研究做出重要贡献的个人或集体均已在文中作了明确的说明并表示谢意。本人完全意识到本声明的法律责任和法律后果由本人承担。论文作者签名：签字日期：年月日论文版权使用授权书本学位论文作者完全了解武汉工业学院有关保留、使用学位论文的规定，特授权武汉工业学院可以将学位论文的全部或部分内容编入有关数据库进行检索，并采

8、用影印、缩印或其他复制手段保存、汇编，