Multi-chessboards localisation based on FCM and Radon transform algorithm
Dong Sheng Zhou, Xiaoyong Fang · International Journal of Computer Applications in Technology · 2010
Owing to the simple and striking structure, chessboard is widely used as the camera calibration pattern. Locating the chessboard in an image is a prerequisite step during the calibration procedure, especially under the situation that there exists more than one chessboard with random relative positions in an image. A robust recognition method based on Fuzzy C-Means (FCM) clustering and Radon Transform (RT) algorithm is presented to solve the problem above. Experiments show that the method is effective to locate and distinguish the chessboards with a large and complicated background from each other. The proposed method also provides a possibility to calibrate a camera with one shot.