光学与光电技术, 2008, 6 (6): 0047, 网络出版: 2010-05-24
基于霍夫变换和相位相关的电子稳像算法研究
Electronic Image Stabilization Algorithm Based on Hough Transform and Phase Correlation
摘要
提出了一种新的基于霍夫变换和相位相关的电子稳像算法。首先根据1D相位相关技术,通过搜索角度脊来得到旋转参数;将待处理图像去旋转后,再采用2D相位相关来得到平移参数;在建立参数运动模型的基础上,通过自适应均值滤波确定各帧修正矢量。提出的方法可以充分利用FFT的高效运算,实验结果表明采用本方法能准确有效地处理具有旋转和平移的电子稳像问题。
Abstract
A novel method for electronic image stabilization based on bough transform and phase-correlation is proposed.Firstly, based on 1D phase correlation, rotation parameter is obtained by searching an angle ridge. After de-rotation, the traditional 2D phase correlation is imported to get the translation parameters. Then, the average value filtering is employed to facilitate smooth operation in terms of constant velocity motion models. The method can take full advantage of the high efficiency of FFT. Experiments show that the proposed method can detect the rotation and translation parameters efficiently and exactly, and satisfy the general demand.
杜登崇, 蒋晓瑜, 姚军. 基于霍夫变换和相位相关的电子稳像算法研究[J]. 光学与光电技术, 2008, 6(6): 0047. DU Deng-chong, JIANG Xiao-yu, YAO Jun. Electronic Image Stabilization Algorithm Based on Hough Transform and Phase Correlation[J]. OPTICS & OPTOELECTRONIC TECHNOLOGY, 2008, 6(6): 0047.