By analyzing the three-dimensional texture information of pavement, the correlation between pavement texture and skid resistance is studied. In the experiment, three-dimensional line laser profile instrument with an accuracy of 0.01mm was used to extract the three-dimensional texture information. The asphalt surface layer of the AC-13 and AC-16 rut plate test specimens were used respectively. The optimal noise reduction smoothing model based on the ensemble empirical mode decomposition (EEM) algorithm was used to filter and reduce the noise of the 3D texture information and the pavement texture information was performed three-dimensional reconstruction and filtered to reduce noise. Then, the two-dimensional texture signal is decomposed by the complementary ensemble empirical mode decomposition (CEEMD) algorithm to obtain the intrinsic mode function IMFs. According to the correlation between each IMFs and the original signal, the IMF with the highest correlation is Hilbert transformed to obtain the instantaneous frequency and instantaneous amplitude. Finally, the maximum correlation coefficient Rcm is proposed, and Rcm is used as an index to characterize the anti-sliding performance. The experimental results show that the correlation coefficients of Rcm and pavement friction coefficient is above 0.8.Rcm can be used to good characterize the anti-skid performance of the pavement.