A model of the image highlight removal based on the back propagation neural network and the Gaussian distribution functions is established, which is beneficial to optimize the image feature extraction and the image feature matching. With the high reflectivity workpiece as the experimental object, the extraction of edge features and the analysis of the vision measurement accuracy are conducted. The experimental results show that the proposed method can be used to realize a vision measurement accuracy of 0.75 mm, which verifies the feasibility of this proposed method to a certain degree.