In this paper, the strategy to extract road strip from acquired road stripe image was explored. The workflow is as follows: feature vector is designed by the road angle texture feature which extracted by one-dimensional Gabor filter and the spectral feature; The training sample data set is designed extract the road candidate point by robabilistic Boosting Tree Algorithm; Specifically, For the curved road with a certain curvature,linear or striped roads is detected by 4 main direction adjacency map. Probabilistic Path Morphology is improved from binary path morphology to remove most non-road points; mathematical morphology is used to make up Strip holes, get a complete road strip. The results show that the accuracy of the proposed method is 88.99%, and the result is ideal.