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基于Gabor滤波器的电泳电子纸图像滤波系统设计

何文耀 刘林威 黄圳煜 易子川 周国富 水玲玲

何文耀, 刘林威, 黄圳煜, 易子川, 周国富, 水玲玲. 基于Gabor滤波器的电泳电子纸图像滤波系统设计[J]. 华南师范大学学报(自然科学版), 2020, 52(2): 14-18. doi: 10.6054/j.jscnun.2020021
引用本文: 何文耀, 刘林威, 黄圳煜, 易子川, 周国富, 水玲玲. 基于Gabor滤波器的电泳电子纸图像滤波系统设计[J]. 华南师范大学学报(自然科学版), 2020, 52(2): 14-18. doi: 10.6054/j.jscnun.2020021
HE Wenyao, LIU Linwei, HUANG Zhenyu, YI Zichuan, ZHOU Guofu, SHUI Lingling. The Design of Electronic Paper Image Filtering Based on Gabor Filters[J]. Journal of South China Normal University (Natural Science Edition), 2020, 52(2): 14-18. doi: 10.6054/j.jscnun.2020021
Citation: HE Wenyao, LIU Linwei, HUANG Zhenyu, YI Zichuan, ZHOU Guofu, SHUI Lingling. The Design of Electronic Paper Image Filtering Based on Gabor Filters[J]. Journal of South China Normal University (Natural Science Edition), 2020, 52(2): 14-18. doi: 10.6054/j.jscnun.2020021

基于Gabor滤波器的电泳电子纸图像滤波系统设计

doi: 10.6054/j.jscnun.2020021
基金项目: 

国家重点研发计划项目 2018YFB0407100-02

国家重点研发计划项目 2016YFB0401502

广东省科技计划项目 2014A010103024

广东省教育厅项目 2018KQNCX334

中山市引进创新创业科研团队项目 180809162197886

详细信息
    通讯作者:

    水玲玲,教授,Email:shuill@m.scnu.edu.cn

  • 中图分类号: TN911.73

The Design of Electronic Paper Image Filtering Based on Gabor Filters

  • 摘要: 采集电泳电子纸(EPD)的边缘纹理、鬼影图像时,需避免外界光照条件的干扰,包括光源方向、明暗和色彩等.针对EPD显示画面采集过程中受到的光干扰问题,设计了一种基于Gabor滤波器的图像滤波系统.对于受光干扰的单一灰阶图像,先通过Gabor滤波器降低光照变化和噪声对图像的影响,再通过闭运算进行边缘补偿;对于受光干扰的彩色图像,先提取图像的RGB分量,分别对各分量进行Gabor滤波,最后将3组分量重新组合成彩色图像.结果表明:该系统在单一灰阶图像、彩色图像中对光干扰的消除率分别达到39.9%和39.7%.研究结果对降低采集EPD图像时的光干扰具有重要意义.
  • 图  1  硬件系统工作流程

    Figure  1.  The hardware system workflow

    图  2  系统硬件框架与软件流程

    Figure  2.  The system hardware framework and the software workflow

    图  3  Gabor滤波前后的图像对比

    Figure  3.  The image comparison before and after Gabor filtering

    图  4  Gabor滤波和闭运算得到的三维模拟图

    Figure  4.  The 3-dimensional simulation curves obtained with Gabor filtering and closed operation

    图  5  本文方法与其他方法的滤波效果对比

    Figure  5.  The filtering effect with the current method in compa-rison with that with other methods

    图  6  本文方法与其他方法的滤波效果对比

    Figure  6.  The filtering effect with the current method in comparison with that with other methods

    表  1  图像灰度值的方差比较

    Table  1.   The comparison of image gray scale variance

    图像处理 单一灰阶图像 彩色图像
    灰度方差 方差下降率/% 灰度方差 方差下降率/%
    滤波前 80.2 - 3 000 -
    本文Gabor滤波 48.2 39.9 1 810 39.7
    灰度化 128.9 -60.7 - -
    高斯低通滤波[8] 79.9 0.4 2 886 0.4
    下载: 导出CSV
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出版历程
  • 收稿日期:  2019-08-27
  • 刊出日期:  2020-04-25

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