摘要
介绍了电子稳像的原理、分类和实现方法,针对稳像过程中的主要问题——提高算法适应性和鲁棒性进行了研究,提出一种新的基于改进MCD法求解运动矢量的电子稳像方法,首先对图像进行梯度转换,再利用梯度图像进行MCD相关匹配。实验证明,此方法有效地克服了由于异物进入时的算法不可靠的问题,提高了算法的鲁棒性和适应性。
The working principle, classification, and realization of electronic image stabilization are introduced. Considering the key problem in electronic image stabilization, i. e., how to improve the adaptability and robustness of the algorithm, we put forward a new method for calculating motion vectors based on improved MCD. First ,the source image was translated into grid image, and then the grid image was matched with reference image. Experiment results indicated that this method can overcome the problem caused by other object＇s disturbance and improve the algorithm＇s adaptability and robustness.
出处
《电光与控制》
北大核心
2010年第1期57-60,共4页
Electronics Optics & Control
关键词
电子稳像
稳像原理
块匹配
MCD相关匹配
electronic image stabilization
stabilizing principle
block matching algorithm
MCD correlation algorithm
作者简介
吕高杰（1976-），男，河南民权人，硕士生，工程师，主要研究方向为图像处理和计算机视觉等。
