Automatic Extraction and Matching of Control Points for Distortion Correction in Star-Background Image

Abstract

Usually a typical geometry distortion will occur when images are captured because of inaccuracy of axis distance of lens in the optical camera lens. The problem is also obvious in star-background images, which necessitate distortion correction for subsequent analysis. In this paper, a new method based on star- point matching is proposed to extract and match automatically control points in star-background images. We acquire automatically control point pairs using point matching between points in pre-corrected image and points in ideal image which relies on the catalog. This work extends applied domain of Hausdorff Distance (HD) which is one of commonly used measures for object matching. In our experiments, least Trimmed Square HD (LTS-HD) was used in point matching, and the result is effective.