复合校正算法在硬币图像校正中的应用

摘要

For the image distortion in the process of acquiring the moving coin image,the paper puts forward the distortion correction algorithm which can be used for obtaining the clear image. In the algorithm,the mapping perspective correction and oval transforma￣tion theory are used to restore and correct the distorted coin images which are captured in the non-stationary state. The algorithm is used us an efficient means of correcting image distortion to obtain a clear standard coin surface patterns, and the dependence de￣gree of the coin image capture part on precision of the mechanical structure is reduced greatly. The experimental results show that the algorithm has higher capacity of the accurate image correction,and the image mean grey value is only 10%of el iptical direct con￣version method.%针对移动硬币图像获取过程中产生的图像失真问题，提出了一种可以获得清晰标准图像的复合校正算法。该算法将透视映射校正与椭圆变换理论相结合，对抓拍到的非静止状态下的失真硬币图像进行还原校正，为获得清晰标准的硬币表面花纹图案提供了一种高效的图像形变矫正手段，降低了硬币图像捕捉环节对机械结构精密度的依赖。实验表明，该算法图像校正精度更高，其图像平均灰度值仅为椭圆直接变换法的10％。