资源描述:
《基于小波变换的图像融合及其应用》由会员上传分享,免费在线阅读,更多相关内容在教育资源-天天文库。
1、基于小波变换的图像融合及其应用石家庄铁道大学四方学院毕业设计WaveletTransform摘要图像融合技术不同于一般意义的图像增强,它涉及到计算机视觉、图像理解等多个领域。经图像融合技术得到的合成图像可以更全面、更精确地描述所研究的对象。由于这一特点,图像融合技术广泛地应用于军事、遥感、计算机视觉、医学图像处理等领域中。本文给出了一种基于小波变换的图像融合方法,并针对小波分解的不同频率域,分别讨论了选择高频系数和低频系数的原则。高频系数反映了图像的细节,其选择规则决定了融合图像对原图像细节的保留程度。本文在选择高频系数时,基于绝对值
2、最大的原则,并对选择结果进行了一致性验证。低频系数反映了图像的轮廓,低频系数的选择决定了融合图像的视觉效果,对融合图像质量的好坏起到非常重要的作用。应用MATLAB进行图像融合仿真,通过突出轮廓部分和弱化细节部分进行融合,使融合后的图像具有了两幅或多幅图像的特征,更符合人或者机器的视觉特性,有利于对图像进行进一步的分析和理解,有利于图像中目标的检测和识别或跟踪。关键词:小波变换MATLAB图像融合AbstractThetechnologyofimagefusionisdifferentwiththeimageenhancementin
3、commonsence,itrelatestothecomputervision,theimageunderstandingandsoon.Thecompositeimagethroughthetechnologyofimagefusioncandescribetheobjectofstudymorecomprehensivelyandmoreexactly.Becauseofthisfeature,thetechnologyofimagefusioniswidelyusedinmilitary,remotesensing,compu
4、tervision,imageprocessingandotherfields.Thisessaypresentsanimagefusionmethodbasedonwavelettransform,andforthewaveletdecompositionofthedifferentfrequencydomain,itdiscusstheprincipleofchosingthehighfrequencycoefficientandthelowfrepuencycoefficient.Thehighfrequencycoeffici
5、entreflectstheimagedetails,anditsselectionrulesdecidethesavinglevelofthefusionimageaboutthedetailsoftheoriginalimage.Intheeassy,basedontherulesofthemaxabsoultwhenchosingthehighfrequency,andtheresultswereverified.Thelowfrequencycoefficientreflectstheoutlineoftheimage,the
6、choiceofthelowfrequencycoefficientdeterminesthefusionimagevisualeffect,anditisveryimportanttothequalityofthefusedimage.ThesimulationofthefusedimagebasedonMATLAB,itisfusedbyhighlightingthecontourportionandweakenthedetails,sothatthefusedimagehascharacteristicsoftwoormorei
7、magefeatures,anditbetterfitthevisionofhumanormachine,anditmorebenefitstoanalyzingandunderstandingtheimage,anditbenefitstotesttheaimintheimageandtorecognisetheaimorfollow-uptracingit.Keywords:WavelettransformMATLABImagefusion目录第1章绪论·······································
8、······························································································11.1图像融合的背景和意义··