摘要
在摄像机拍摄到的图像中,图像难免会出现某种程度的畸变,给生活带来了很多不便。Hough变换算法是一种应用非常广泛的图像检测方法,但其缺点为计算容量大,运算速度慢等,因此提出了一种新的算法,利用高阶Hough变换通过自动曲线校正来找到用来校正的可靠的曲线和准确估计镜头的畸变参数。实验结果表明,该算法可行而且还能够将广角镜头,鱼眼镜头和变焦镜头的摄像机拍摄到的畸变图像进行自动校正。
In the images taken by camera, the image may appear distorted to some extent, it has brought much inconvenience to the life. Hough transform algorithm is image detection method for a very wide range of applications, but its drawback for the calculation of large capacity, slow speed operation, so a new algorithm is proposed, through the automatic calibration curve to find reliable for correction curves and the accurate estimation of distortion parameters by using high order Hough transform lens. The experimental results show that the algorithm is feasible, but also to the wide-angle lens, automatic image distortion correction of camera lens and zoom lens captured.
出处
《信息技术》
2015年第7期24-27,31,共5页
Information Technology
基金
国家高技术研究发展计划(2006AA03Z348)
中国教育部科学技术研究重点项目(207033)
重点科技研究项目上海委员会(10ZZ94)
上海市重点学科建设项目(S30502)
上海市教育创新计划委员会(12YZ094)
