首页> 外文期刊>International Journal on Smart Sensing and Intelligent Systems >Research of Image Pre-processing Algorithm Based on FPGA
【24h】

Research of Image Pre-processing Algorithm Based on FPGA

机译:基于FPGA的图像预处理算法研究

获取原文
           

摘要

How to design a low-cost , reliable and real-time target recognition system with large amount ofdata has become a hot topic in the area of image processing .However, Edge detection has played animportant role in target recognition system. The threshold of traditional canny edge detection algorithmmust be setting by human, and has a large number of calculations. In order to overcome the shortcomingsof the traditional Canny algorithm, proposing an adaptive threshold edge detection algorithm, andrealizing it by hardware. This paper will introduce the implementation of the common low-level imageprocessing algorithm in the FPGA, including color space convert module , edge extraction algorithmsmodule , Hough transform module .The results of the experiment indicate that to realize the large amountof calculation of image processing by FPGA hardware logic, not only improves the effect of imageprocessing, but also has high real-time!
机译:如何设计一种低成本,可靠,实时的,海量数据量大的目标识别系统,已成为图像处理领域的研究热点。然而,边缘检测在目标识别系统中却发挥了重要作用。传统的Canny边缘检测算法的阈值必须由人为设置,并且需要进行大量的计算。为了克服传统Canny算法的缺点,提出了一种自适应阈值边缘检测算法,并通过硬件实现。本文将介绍常见的底层图像处理算法在FPGA中的实现,包括色彩空间转换模块,边缘提取算法模块,霍夫变换模块。实验结果表明,利用FPGA可以实现大量的图像处理计算。硬件逻辑,不仅提高了图像处理的效果,而且具有很高的实时性!

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