Abstract:Images geometric distortion would reduce the accuracy of dimensional measurement in Camera Vision Measurement Systems, so we need to correct it. So far, there are two typical distortion correction methods based on a single image. One is a parameter-free method utilizing the transference between the feature points in a checkerboard pattern and its images, and the other is a parameterize method utilizing the geometric constraints such as rectilinear elements or vanishing points. Both of those methods should get lots of feature points’ coordinate, but it will get a wrong coordinate when the feature point is a isolated point, therefore sometimes those method have a bad correction effect. In this paper, we propose a uniformly-spaced lines method and establish a relation of the spacing interval and distortion parameter from the distortion model. We could compute the distortion parameter from the spacing interval between lines we have detected in the image. In the end, we use the uniformly-spaced lines method to correct some distorted images. The result shows that this method has a low-level calculated amount and a nice correction effect.