| 基于数据融合技术的图像平滑方法 |
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| 引用本文： | 龚昌来.基于数据融合技术的图像平滑方法[J].嘉应学院学报,2007,25(3):81-84. |
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| 作者姓名： | 龚昌来 |
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| 作者单位： | 嘉应学院,电子信息工程系,广东,梅州,514015 |
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| 摘 要： | 在分析边缘保持滤波器算法的基础上,应用多传感器数据融合技术,提出了一种新的图像平滑算法。该算法釆用线状掩模窗口和最优融合估计方法,有效地增强了边缘保持能力和去噪能力,克服了边缘保持滤波器存在的缺陷。实验结果表明,该算法性能优于边缘保持滤波器及经典均值滤波器。
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| 关 键 词： | 图像平滑 边缘保持 去噪 数据融合 最优融合估计 |
| 文章编号： | 1006-642X（2007）03-0081-04 |
| 修稿时间： | 2007-04-02 |
Image Smoothing Method Based on Data Fusion Technology |
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| GONG Chang-lai.Image Smoothing Method Based on Data Fusion Technology[J].Journal of Jiaying University,2007,25(3):81-84. |
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| Authors: | GONG Chang-lai |
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| Institution: | Department of Electronic and Information Engineering, Jiaying University,Meizhou 514015, China |
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| Abstract: | On the foundation of analyzing edge keeping filter principle,a new image smoothing algorithm based on multi-sensor data fusion is provided.By using linear mask and the optimal fusion estimation,this algorithm improves the ability of edge keeping and denoising effectively,overcomes the disadvantages of the edge keeping filter.The experiment results show the performance of the proposed algorithm is better than the edge keeping filter and normal mean filter. |
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| Keywords: | image smoothing edge keeping denoising data fusion optimal fusion estimation |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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