結(jié)合多尺度特征與局部采樣描述的多模態(tài)圖像配準方法

打開文本圖片集

Research on multimodal image registration method combining multi-scale features and local sampling description

Jia Zhiyou，Wang Guogang （School of Information Enginering，Shenyang Chemical University，Shenyang11O142，China）

Abstract：Aimingatthematching dificultiescausedbytheexistenceofserious geometricdiferencesandnonlinearntensity diference（NID）indiferentmodal images，this paperproposedamultimodal imagealignmentmethodcombining multi-scale featureswithalocalsamplingdescription.Firstly，themethodintroducedanonlineardifusionequationtoconstructanonlinearscalespace，andthen itcombineda phaseconsistencyandorientedFASTandrotatedBRIEF（ORB）algorithm to obtain multi-scalestable feature points.Then，the method proposedarotation-invariant doubleGaussiansamplingdescriptor，which could robustly span the rotation difference of [0°，360°） in the presence of NID. Finally，the method introduced an image recoverystrategy.The methodobtainedtheoptimal geometrictransformationmodel through primarymatching，corected the geometricdiferences existingbetween images，andthenperformed secondarymatching toimprovethematchingaccuracy. Experiments on multimodal data sets inremote sensing，medicine，andcomputer visionshowthattheroot-mean-squareerorof the proposed method can reach within 1.5 pixels and the correct matching rate can exceed 98% when there are geometric diferencessuchasscaleandrotation.Theresultsdemonstrate that this methodcanovercometheinfluenceof nonlinearradiation difference between images and achieve high precision registration.

Keywords：multimodalimages registration；nonlinear scale space；phase coherence；double Gausian sampling descriptor; nonlinear radial disparity

0 引言

圖像匹配是計算機視覺領(lǐng)域的一個基礎(chǔ)和關(guān)鍵問題，其目的是在兩幅或多幅圖像中提取可靠的特征對應(yīng)，使之成為圖像融合、圖像檢測、目標跟蹤等多個領(lǐng)域的先決條件。（剩余14258字）