摘要
常规的灰度投影稳像算法仅能对存在平移运动的图像进行稳像,而对具有旋转和尺度变化的图像无能为力。为了克服灰度投影算法这一局限性,提出了基于图像对数极坐标变换(LPM)的灰度投影稳像算法,把具有尺度和旋转变化的图像进行对数极坐标变换,这样笛卡儿坐标系下图像的旋转和尺度变化在对数极坐标系下表现为平移变化,从而能够用灰度投影算法处理旋转和尺度变化问题。
Traditional gray projection image stabilizing algorithm just works under horizontal and vertical movement; but it is unable to deal with either scaling or rotation of the matched images. Due to the limitation, a gray projection image stabilizing algorithm based on log-polar image transform was introduced. When log-polar image transform was Used in scaling or rotation image, the scaling or rotation movement in Descartes reference frame was represented by horizontal and vertical movement in log-polar reference frame. Accordingly, gray projection algorithm could be used in Sealing or rotation image.
出处
《计算机应用》
CSCD
北大核心
2008年第12期3126-3128,共3页
journal of Computer Applications
基金
国家自然科学基金资助项目(60675015)
关键词
灰度投影
对数极坐标
笛卡儿坐标系
旋转变换
稳像
gray projection
log-polar reference frame
Descartes reference frame
rotation transform
image stabilization
