风成沙波纹是沙质地表在风力作用下形成的最小地貌单元，对研究风沙的起动过程和运动过程极其重要，同时，沙波纹形态特征的研究为了解大尺度范围风沙地貌形态演变提供理论基础。然而由于风成沙波纹尺度较小，形成速度较快，导致对其形态特征的观测比较困难。近些年，随着计算机图形学的迅猛发展，数字图像处理方法得到了较大发展，使得测量和计算更加便捷。本文基于高清相机拍摄的风成沙波纹图像，借助于Matlab平台，采用数字图像处理技术，对沙波纹脊线进行提取，并应用于沙波纹形态参数计算。本文选取腾格里沙漠东南缘的沙波纹进行验证分析，得到风成沙波纹波长的正态分布规律，沙波纹的波长随时间逐渐增长，在40 min的时间范围内，波长由不足1 cm逐步发展到接近10 cm。最后，采用数字图像处理方法，计算了沙波纹脊线长度和波长。采用数字图像处理方法，波长等数据更易于获取和统计，数据采集效率大大提高，为风成沙波纹的研究提供了新的方法。

As the most basic geomorphic unit on sandy surface by wind, aeolian sand ripple is the theoretical foundation for studying the initial process and the movement process of aeolian sand transportation. Because of its small scales and fast formation, aeolian sand ripples is difficult to measure. In recent years, with rapid development of computer graphics technology, digital image processing technology is widely used and facilitates the measurement and calculation of aeolian sand ripples. Based on images taken by HD video camera, digital image processing technology is used to extract sand ripple crest lines and calculate sand ripple morphometric parameters utilizing Matlab software. In this study, through verification and analysis of sand ripple on the southeastern margin of the Tengger Desert, normal distribution rule of the sand ripple wavelength was obtained. Sand ripple wavelength grows and evolves over time and the range develops from 1 cm to 10 cm within 40 minutes. Finally, this method is applied to calculate sand ripple crest line length and sand ripple wavelength. This digital image processing method makes data statistics for sand ripples easier, and improves the efficiency of data collection, providing a new method for sand ripple crest lines extraction.