Under the background of texture and spatial coded structure light superposition,this paper presents an improved stereo vision algorithm in order to reduce the influence of complex texture and structure light superposition on the parallax results of stereo matching algorithm.When a single plane and geometric work piece model images are reconstructed by four kinds of spatially coded structure lights and three stereo matching algorithms (BM,SGBM,NCC),we find that superposition phenomenon will lead to the deterioration of the real parallax calculation of binocular stereo vision.The parallax values of structure light image and unstructure light image are compared that the bad points with structure light are replaced by unstructure light image parallax in the complex texture area.It can optimize the parallax at the superposition of texture and structural light to improve the integrity of parallax reconstruction.A comparison of experiments show that,under four kinds of different coded structures,the effectiveness of the algorithm can be verified by the structure light image and unstructure light image of 3D reconstruction results.The accuracy of depth detection of plane region are improved by 1% by this algorithm,and the parallax reconstruction of work piece is optimized to improve the integrity of 3D reconstruction.