An improvement approach based on keren sub-pixel registration method
Chong Fan, Jianya Gong, Jianjun Zhu, Lihua Zhang · 2006
This paper introduces the keren sub-pixel registration method and point out its disadvantage. Moreover, this paper put forward a new improvement approach about keren method and its iterative method. The improvement approach base on the four parameters affine transformation model and abandon the rigid body transformation model. This change avoids the error that is brought on by the tailor series expansion of angle and improves the precise of image registration greatly. The experiment show that the improvement approach makes less absolute error of angle than keren method and its iterative algorithm in the case of great noise pollution. The improvement approach can make the absolute error of translation parameters under 0.1 pixels in the case of the rotation angel of 15 degree and under 0.01 pixels in the case of the small rotation angle