提出了一种基于低调制度特征进行像素匹配的在线三维测量方法。仅将一固定的正弦条纹投影到在线匀速运动的待测物体上，物体运动产生相应的等效相移变形条纹图。当CCD等步距采集多帧变形条纹时，由于物体的运动致使变形条纹图中物体像素不对应，需要对所采集的条纹图进行像素匹配。在对变形条纹图提取物体调制度信息的基础上，使用大津法进行自动二值化处理，截取物体低调制度区域作为特征模板，实现像素匹配，从而获得物体上点对点的多帧等步相移条纹图，利用等步相移算法解相并恢复出待测物体的三维形态信息。仿真和实验证明了所提方法的有效性和实用性。

An on-line three-dimensional (3D) measurement method based on low modulation feature for pixel matching is proposed. Only a fixed sinusoidal fringe is projected on the measured object moving with a constant speed. The object′s movement can produce the corresponding phase shifting deformed patterns. When several deformed patterns are recorded at equivalent steps by CCD, pixel matching must be done for these patterns in which the points are not one-to-one corresponding because of the measured object′s movement. On the basis of cutting the modulation information of the object from deformed patterns, Otsu algorithm is used to do the binarization automatically. The area having low modulation is segmented to be regarded as a featured template to realize the pixel matching and several phase shifting deformed patterns in which the points are one-to-one corresponding are acquired. The equal-step phase shifting algorithm is used to reconstruct the surface information of the measured object. Simulations and experiments show feasibility and validity of this method.