Laser triangulation spot location is usually affected by the skewness of the image spot. To improve the measurement accuracy and surface adaptability of the laser triangulation displacement sensor by analyzing the skewness characteristics of the laser triangulation spot， this paper proposes a novel spot location algorithm based on cross-correlation and non-uniform rational B-spline interpolation. First， a filtering method combining time and space domain is adopted for the spot signal to reduce external noise interference. Subsequently， the calibration spot is matched to perform the cross-correlation operation， and the pixel-level correlation coefficient distribution is determined by maximizing the grayscale and position similarity constraints of light intensity distribution. Finally， the correlation coefficient sequence is subdivided by cubic non-uniform rational B-spline interpolation to achieve sub-pixel centroid location. Furthermore， the algorithm is verified in the laser triangulation displacement sensor， and the obtained results indicate that the measurement repeatability error is reduced to 0.4 μm by combining cross correlation and non-uniform rational B-spline interpolation subdivision. Compared with the conventional positioning algorithm， the accuracy is significantly improved； the neighborhood calibration spot template adopted in the cross-correlation algorithm is not only easy to obtain， with higher geometric similarity， but also more adaptive to different object surface characteristics. In general， this method exhibits high precision and strong adaptability， which provides a novel technical approach to effectively improving the performance of laser triangular displacement sensors.