Weaver J B, Healy D M, Periaswamy S, Kostelec P J
Department of Radiology, Dartsmouth-Hitchcock Medical Center, Lebanon, N.H. 03756, USA.
J Digit Imaging. 1998 Aug;11(3 Suppl 1):59-65. doi: 10.1007/BF03168261.
We have developed a multiscale algorithm for elastic registration of images. Rigid registration has many applications but it is often limited by distortions in the images. For example, different views of the same object produce distortions. Common examples of slightly different views producing a distortion can be found in medical imaging, such as matching a current mammogram or chest radiograph with one from a previous year, and in remote sensing, such as matching images taken from different satellite positions. We have developed two methods of elastic registration. Both are multiscale but one used an iterative minimization of the local error and the other uses a windowed correlation. We present preliminary results of the elastic registration method used on windowed correlations.
我们开发了一种用于图像弹性配准的多尺度算法。刚性配准有许多应用,但它常常受到图像失真的限制。例如,同一物体的不同视图会产生失真。在医学成像中可以找到略有不同视图产生失真的常见例子,比如将当前的乳房X光片或胸部X光片与前一年的片子进行匹配;在遥感中也有,比如匹配从不同卫星位置拍摄的图像。我们开发了两种弹性配准方法。两者都是多尺度的,但一种使用局部误差的迭代最小化,另一种使用加窗相关性。我们展示了加窗相关性弹性配准方法的初步结果。