文章摘要
基于FPGA的图像畸变矫正研究
Research on Image Distortion Correction Based on FPGA
投稿时间:2018-03-13  修订日期:2018-03-13
DOI:
中文关键词: 图像畸变矫正  相机标定  FPGA
英文关键词: image distortion correction  camera calibration  FPGA
基金项目:皖西学院校级重点项目;安徽省哲学社会科学规划项目
作者单位邮编
裴明敬* 皖西学院 237012
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中文摘要:
      在机器视觉工业应用中,相机成像不同程度上引入了光学畸变,在测量和定位中,必须对畸变进行矫正,另外,畸变矫正的实现多存在于理论研究,在工业上应用也大多是基于PC平台,速度慢,实时性差。本文提出了一种新的方案,单张棋盘格标定法,通过计算畸变参数,并通过多项式畸变模型进行矫正,并采用FPGA平台,利用FPGA并行处理,乒乓操作以及流水线等优势来设计。从实验结果来看,采用此方案,比传统基于PC平台下快9.5倍,矫正精度可以达到1个像素以内。
英文摘要:
      In industrial applications of machine vision, the optical distortion is introduced to the imaging of the camera to varying degrees. In the measurement and positioning, the distortion must be corrected. In addition, the realization of distortion correction mostly exists in theory research, and most industrial applications are based on PC Platform, which is slow and poor in real-time. In this paper, a new scheme, a checkerboard calibration method, is proposed to calculate the distortion parameters and to correct them by the polynomial distortion model,meanwhile, we adopt the FPGA platform to design the scheme by using FPGA parallel processing, ping-pong operation and pipeline and so on. From the experimental results, this program speed is 9.5 times faster than software implementation by the experimental data and correction accuracy can reach 1 pixel or less.
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