%0 Journal Article
%T Digital Volume Image Correlation by Using Iterative Least-Squares for Internal Deformation Measurement of an Object<br>数字体图像相关方法中基于迭代最小二乘法的物体内部变形测量
%A PAN Bing
%A WU Da-fang
%A GUO Bao-qiao
%A <br>潘兵
%A 吴大方
%A 郭保桥
%J 实验力学
%D 2011
%I 
%X A sub-voxel displacement measurement method based on iterative least-squares algorithm (ILS), which combines practical gray scale linear-intensity-change model and linear displacement mapping function, is proposed in this paper to retrieve 3-D internal displacement vector field of an object. In this method, only the first -order gray-scale gradient of volume image after deformation is needed for ILS to measure the sub-voxel displacement and displacement gradient. This algorithm is capable of taking into account of both possible intensity changes and relative geometric transform of the target sub-volme, so it provides highest sub-voxel registration accuracy and widest applicability. Furthermore, this ILS algorithm significantly reduces computational complexity since only first -order gray-scale gradient of volume image after deformation is used. Computer-simulated volume images with controlled displacements were employed to investigate the performance of the proposed DVC method in terms of mean bias error and standard deviation error. Results reveal that the above-mentioned method has rather strong anti-jamming capability and is capable of providing accurate measurement of 3-D internal deformation calculation in an easy-to-implement manner.
%K digital volume correlation
%K subvoxel
%K internal deformation measurement<br>数字体图像相关方法
%K 亚体素
%K 内部变形测量
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=5D344E2AD54D14F8&jid=49067A0A0D864088C06A84AACB51A5B2&aid=EB1EEE94DAF205C67133A3833BB8D9EE&yid=9377ED8094509821&vid=96C778EE049EE47D&iid=B31275AF3241DB2D&sid=D559883475316B44&eid=B28C697BC3A1BA62&journal_id=1001-4888&journal_name=实验力学&referenced_num=0&reference_num=19