应用数学形态学的方法提取源图像的结构特征，并在此基础上选择图像的相关配准点。
Mathematical morphology was applied to gain source images structural features and the pairs of registration points of the images can be chosen based on the method.
利用小波变换和数学形态学的方法对高分辨率遥感影像的面状地物居民地进行识别提取。
This article discusses the method of using Wavelet Transform and Mathematics Morphologic Subject to extract the canal of the area objects on the high resolution remote sensing image.
在二值化中采用局部自适应方法与传统的固定阀值方法作比较，细化中运用了数学形态学的方法，对指纹图像进行细化。
We compare local self-adaptive way with the fixed value in binarization, and use mathematical morphology method to thin image.
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