...
首页> 外文期刊>Applied optics >Geometric approach for designing optical binary amplitude and binary phase-only filters
【24h】

Geometric approach for designing optical binary amplitude and binary phase-only filters

机译:设计光学二进制振幅和仅二进制相位滤波器的几何方法

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

An analytic solution for real optimal filters is known, and the special case of optimal binary phase-only filters can be solved by a fast binning algorithm but no analytic solution is known. We establish a geometric solution for the design of optimal binary amplitude filters (OBAF's) and optimal binary phase-only filters (OBPOF's) for any object. The optimal filter is found in terms of maximizing the field strength at the origin in the correlation plane. We found that it is possible to construct a unique convex polygon by using an ordered set of phasors from the filter object's Fourier transform. This process leads eventually to an exact solution for the filter-design problem. We show that the maximum distance across the polygon divides the phasors into two groups: For the OBAF, it determines the group that is passed or blocked; for the OBPOF, it determines which group is passed with a zero or a rr phase shift. The shape of the convex polygon gives qualitative information on the criticalness and the tightness needed in the design process. It provides good insight into the binning-process algorithm and permits us to bound the error in the binning process. Design examples through computer simulation and applications in fingerprint identification are presented. (C) 1998 Optical Society of America. [References: 25]
机译:实际最优滤波器的解析解是已知的,最优二进制仅相位滤波器的特殊情况可以通过快速合并算法来解决,但是解析解未知。我们为任何对象的最佳二进制幅度滤波器(OBAF)和最佳二进制仅相位滤波器(OBPOF)的设计建立了一种几何解决方案。从最大化相关平面原点处的场强方面找到了最佳滤波器。我们发现有可能通过使用来自滤镜对象的傅立叶变换的有序相量集来构造唯一的凸多边形。该过程最终导致针对滤波器设计问题的精确解决方案。我们证明了跨越多边形的最大距离将相量分为两组:对于OBAF,它确定通过或阻止的组;对于OBAF,它确定通过或阻止的组。对于OBPOF,它确定哪个组以零或rr相移通过。凸多边形的形状提供了有关设计过程中所需的临界度和紧密度的定性信息。它提供了对合并过程算法的深入了解,并允许我们限制合并过程中的错误。给出了通过计算机仿真的设计实例及其在指纹识别中的应用。 (C)1998年美国眼镜学会。 [参考:25]

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号