Checkerboard Image Processing under Uneven Illumination for Robust Harris Corner Detection in Camera calibration

摘要

Harris corner detection in checkerboard images for camera calibration often suffer from uneven illumination. The key to camera calibration lies in that how to robustly detect corners from the degraded images. To this end, an image processing method is proposed to deal with non-uniform illumination problems. Experiments show that the stabilities of Harris corner detection under uneven illumination are improved obviously.