自适应中心加权的彩色图像中值滤波方法
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作者单位:

1. 哈尔滨工程大学模糊信息分析与智能识别实验室,哈尔滨
150001;2. 内蒙古通辽市奈曼旗农电局,内蒙古通辽028300

作者简介:

董天祯

通讯作者:

中图分类号:

A

基金项目:

形态学连通性理论及在图像分割中的应用研究


Median filtering method based on adaptive central weighting for color
images
Author:
Affiliation:

1. Laboratory of Fuzzy Information Analysis and Intelligent Recognition,Harbin Engineering University,
Harbin 150001,China;2. Agricultural Electricity Bureau of Naiman District,Tongliao 028300,China.

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    摘要:

    提出一种彩色图像自适应中心加权的矢量中值滤波方法. 通过引入投影距离确定与待滤波点最接近的若干
    个像素的关系, 并考虑该点与由聚合距离所确定的中值的关系, 自适应地确定该点的权系数, 形成相应模板下的一个
    多重向量集合, 将该集合的中值作为滤波中值. 实验证明所提出方法能有效地去除彩色图像的椒盐噪声, 同时能够较
    好地保持其色调和细节信息.

    Abstract:

    An adaptive center weighted vector median filtering for color images is proposed. The relationship between the
    filtered pixel and its several nearest neighbor pixels is determined by introducing the projective distance. The link between the
    given pixel and the median value of template based on the aggregative distance is considered, and the weighting coefficient
    of the given pixel is adaptively obtained. A multi-set of vectors is formed and the median value of the multi-set is taken as
    the median of filtering. Experimental results show that the proposed method can effectively remove salt and pepper noises in
    a color images and preserve color information and local details.

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引用本文

邓廷权, 董天祯, 谢巍,等.自适应中心加权的彩色图像中值滤波方法[J].控制与决策,2013,28(9):1372-1376

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历史
  • 收稿日期:2012-05-22
  • 最后修改日期:2012-07-25
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  • 在线发布日期: 2013-09-20
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