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Abstract：Fourier Profilometry (FTP) can be used to realize phase extraction of single frame grating projection fringe image and restore the 3D information of the measured object. This method has the characteristics of high real-time performance, but it is easy to be interfered by non-uniform background components in frequency domain filtering When the background component of the fringe image is not uniform, the existing methods for background removal of the projected fringe image have poor removal effect, which seriously affects the reconstruction accuracy. Aiming at this problem, it is found through experiments that the background component changes very little within a single fringe period, which can be approximately treated as a constant. Considering that the two Hilbert transforms can effectively remove the DC component of the signal and keep the phase information stable, an adaptive fractional periodic fringe background filtering method is proposed. Firstly, the fringe peak is extracted from the raster projection image, and the fringe period is segmenting. Then, two Hilbert transforms are carried out on each fringe period to automatically remove the background component in this period, so as to realize the periodic adaptive removal of the fringe background component. This method can effectively overcome the problem of the non-uniform background component of the fringe projection image Experimental results show that the proposed method can eliminate the fringe background component better than Fourier contour technique, and the reconstruction accuracy is better than 0.1mm with fewer abnormal points on complex surface objects