摘要
介绍了相位相关法的匹配原理。针对在粒子测速系统(PIV)应用中由于粒子运动而引起的不匹配以及亚像素快速求解等问题,提出了分层匹配后“伪粒子”的去除方法和相位相关运算的快速求解算法。使用优化的匹配流程仅需一次2D-FFT便可准确求出两幅粒子图像的亚像素级匹配点。最后,使用合成的粒子图像进行了算法验证和效率分析并给出了仿真结果。经验证,优化后的相位相关匹配具有高效性与可靠性。
This paper introduces image-matching principle of phase correlation algorithm.A new method based on deletion of pseudo particles and fast computation of correlation after hierarchical matching is presented to solve the problem of error matching and fast sub-pixel computation.A sub pixel precision matching set is obtained by using improved matching flow,which needs 2D-FFT only once.Finally,the improved phase-based processing has been tested on synthetic particle images,and experimental result demonstrates the effectiveness of the optimized matching method.
出处
《计算机工程与应用》
CSCD
北大核心
2007年第14期49-51,共3页
Computer Engineering and Applications
基金
985二期项目资金资助
关键词
图像匹配
相位相关
FFT
PIV
快速计算
优化
image matching
phase correlation
FFT
PIV
fast computation
optimization
