数学形态学对信号进行去噪，效果较好，信号扰动特征得到很好保留-Mathematical morphology to signal de-noising, the effect is better to be a very good signal to retain the characteristics of disturbance

图像配准中最有挑战的是图像包含不同的形态特征。这种情况下，直接比较灰度水平的方法是不可行的。交互信息的评估很好地克服了多模态配准的困难。-Some of the most challenging cases of image registration arise when images of different modal-ities are involved. In such cases, metrics based on direct comparison of gray level

能有效提取图像的特征，包括：不变矩特征、形态特征、周长像素点、面积，矩形度，圆形度，拉伸度特征等。详情见 后的内容。-Can effectively extract image features, including: moment invariants, morphology, pixel perimeter, area, squareness, roundness, tensile elongation characteristics.