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基于区域特征的路面裂缝图像滤噪算法
引用本文:朱其刚,刘明,杨峰.基于区域特征的路面裂缝图像滤噪算法[J].可编程控制器与工厂自动化(PLC FA),2005(11):118-120.
作者姓名:朱其刚  刘明  杨峰
作者单位:[1]山东科技大学信息与电气工程学院 [2]山东省节能工程有限公司
摘    要:分析了破损路面图像的像素点区域特征,针对不同区域提出加权区域滤波和自适应加权中值滤波算法。其权值是通过对图像中区域特征的推理得到的,所以算法中能够根据图像的区域特征自适应的滤波。试验表明,本算法能够有效滤除噪声,并具有很好的细节保护能力。

关 键 词:加权区域滤波  自适应加权中值滤波  图像滤噪
文章编号:1606-5123(2005)11-0118-03

A Filtering Algorithm For Road Crack Image Based on Local Characteristics
Zhu Qigang ,Liu Ming ,Yang Feng.A Filtering Algorithm For Road Crack Image Based on Local Characteristics[J].Programmable controller & Factory Automation(PLC & FA),2005(11):118-120.
Authors:Zhu Qigang  Liu Ming  Yang Feng
Abstract:Analyze the local characteristics of the pixel in the road crack image. Ihe weighted neighborhood filter and adaptive weighted median filter are proposed in this paper for the differ area. Since the weights are estimated by using local characteristics, it is possible for the filtering algorithm to the proposed algorithm show its effectiveness to remove adjust its weights to adapt the image. Experimental results of most of the noise and keep details of the image.
Keywords:Weighted neighborhood filter Adaptive weighted median filter Image denosing
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