| 基于像素特征的路面裂缝图像自适应滤噪 |
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| 引用本文： | 朱其刚.基于像素特征的路面裂缝图像自适应滤噪[J].山东师范大学学报(自然科学版),2005,20(3):37-39. |
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| 作者姓名： | 朱其刚 |
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| 作者单位： | 山东科技大学信息与电气工程学院,266510,山东青岛 |
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| 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邻域滤波和自适加权中值滤波算法。其权值是通过对图像中区域特征的推理得到的，所以算法中能根据图像的区域特征自适应的进行滤波。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。
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| 关 键 词： | 加权邻域滤波 自适应加权中值滤波 图像滤噪 |
| 收稿时间： | 2005-03-20 |
| 修稿时间： | 2005-03-20 |
AN ADAPTIVE FILTERING ALGORITHM FOR ROAD CRACK IMAGE BASED ON PIXEL CHARACTERISTICS |
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| Zhu Qigang.AN ADAPTIVE FILTERING ALGORITHM FOR ROAD CRACK IMAGE BASED ON PIXEL CHARACTERISTICS[J].Journal of Shandong Normal University(Natural Science),2005,20(3):37-39. |
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| Authors: | Zhu Qigang |
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| Abstract: | By analyzing the weighted neighborhood filter and adaptive weighted median filter are proposed in this paper for the differences.Analyze the local characteristics of the pixel in the road crack image.Since the weights are estimated by using local characteristics,it is possible for the filtering algorithm to adjust its weights to adapt the image.Experimental results of the proposed algorithm show its effectiveness to remove most of the noise and keep details of the image. |
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| Keywords: | weighted neighborhood filter adaptive weighted median filter image denosing |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
