引用本文: | 经一平.图象配准的幅度排序快速相关算法.[J].国防科技大学学报,1982,(4):111-128.[点击复制] |
Jing yiping.A Fast Algorithm of Amplitude Ranking Correlation for Images Registration[J].Journal of National University of Defense Technology,1982,(4):111-128[点击复制] |
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图象配准的幅度排序快速相关算法 |
经一平 |
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摘要: |
本文在分析了幅度排序相关技术以后,研究了一种对敏感器灰度量化排序的相关算法。本文选择合适的量化阈值,对敏感器灰度作量化排序,可将敏感器图分块成若干张0-1 数码图。进一步用数码图与参考图相关,结果省去了所有的乘法运算。此外,在确定的量化函数条件下,对灰度为高斯分布的图象从理论上分析计算出了度量值的均值与方差,从而得出在不同信噪比条件下的检测门限序列。在计算机上对不同相关长度的随机高斯分布的图象进行的模拟表明,门限序列对信噪比从 5 到 1 的敏感器图的匹配,都能有效地进行检测。对实际地形图进行模拟的结果是:当敏感器图的信噪比从 3 降到 1 时,都获得了正确的匹配。 |
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投稿日期:1982-07-29 |
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A Fast Algorithm of Amplitude Ranking Correlation for Images Registration |
Jing yiping |
Abstract: |
After investigating the technique for amplitude ranking correlation,this paper presents an algorithm for quantizing and ranking grey levels of pixels of a sensor image. The optimum threshold for quantization has been found; after ranking a sensor image can be decomposed into several 0-1 coded images. Then the coded images will be correlated with a reference image without multiplication operations. For a give quantization function the means and variance of metrics for correlation can be calculated theoretically. Detection threshold sequences {Tk} for different signal to noise ratios can be obtained for the image of Gaussian distribution,Computer simulation shows that the detection threshold sequence can detect each match point effectively for the images of Gaussian distribution with different correlation lengths and with signal to noise ratios from 5 to 1. It is also shown that,
for actual terrain maps with signal to noise ratios from 3 to 1,correct match can be reached. |
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