微型机与应用Issue(9)：66-69,4.
黑白棋盘格中的角点提取算法的研究
Research of corner detection algorithm in the black and white checkerboard
摘要
Abstract
This paper improves the Harris corner detection algorithm, to get the corner of black and white checkerboard more accurately, which plays an important role in the camera calibration based on the plane calibration. Here, the corner response function is optimized to avoid repeatedly setting the factor of response function and the threshold during testing. Then , it extracts the maximum in the regions and excludes neighboring corners from the optimized response function matrix, aim to improve corners clustering and make corners distribution more uniform. External factors may lead to the wrong corner detection, so it′s necessary to remove it by blocking the image again. After that adopting quadratic surface fitting, to obtain sub-pixel corner coordinates, which provides precise coordinates calculation parameters for the followed implementation of camera calibration. Moreover , it verifies the feasibility of the above algorithm by MATLAB emulation.关键词
摄像机标定/Harris 角点检测/图像分块Key words
camera calibration/Harris corner detection/image block分类
计算机与自动化引用本文复制引用
熊显名,任娟娟..黑白棋盘格中的角点提取算法的研究[J].微型机与应用,2014,(9):66-69,4.基金项目
桂林市科学研究与技术开发课题 （）
