基于FPGA的光纤光斑中心定位算法研究

为了解决传统数字图像处理算法中数据运算量大、复杂度高、耗时长的问题，提出一种基于可编程门阵列（FPGA）光纤光斑中心定位的方法。采用数字信号处理系统，利用开发工具（DSP builder），设计了光斑图像预处理算法和边缘检测算法，用最小二乘法拟合光斑边界，采用流水线设计，增强了数据处理的并行能力，提高了处理速度。在Cyclone V平台上进行理论分析和实验验证，取得了光斑图像边界、中心坐标数据。结果表明，在保证对光斑中心定位的绝对误差小于0.1pixel的条件下，使用FPGA比计算机运算速度能提高21倍以上。该研究能够在FPGA平台上快速准确定位光斑中心。

Locating algorithm of optical fiber spot center based on FPGA

In order to solve the problem of large amount of data, high complexity and long time consuming in traditional digital image processing algorithm, a method for center location of optical fiber spot was presented based on field-programmable gate array (FPGA).By using digital signal processing system and development tools (DSP builder), image preprocessing algorithm and edge detection algorithm were designed.The least square method was used to fit the boundary of light spot.The parallel capability for data processing was enhanced and the processing speed was improved by means of pipeline design.Theoretical analysis and experimental verification were carried out on Cyclone V platform.The image boundary and the central coordinate data were obtained.The results show that under the condition that the absolute error of spot center location is less than 0.1pixel, the computer speed can be improved by more than 21 times based on FPGA.The spot center can be located quickly and accurately on FPGA platform.