| 利用最近邻域分类的图像去噪算法 |
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| 引用本文： | 宫霄霖,毛瑞全.利用最近邻域分类的图像去噪算法[J].天津大学学报(自然科学与工程技术版),2011,44(3). |
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| 作者姓名： | 宫霄霖 毛瑞全 |
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| 作者单位： | 天津大学电子信息工程学院; |
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| 摘 要： | 为了在图像去噪的同时较好地保护图像细节,利用最近邻域的算法将数据进行有效的分类,得到了不同的有意义的封闭邻域,从而对突出的边缘细节信息与非边缘细节信息进行有效地分割,较好地改善了方形邻域固定、模糊边缘细节信息的问题.且利用小波分析之后的系数特征,估计出一个最佳阈值并进行阈值去噪.实验表明,该算法可以得到更好的实验结果.
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| 关 键 词： | 图像去噪 脉冲耦合神经网络 图像分割 最近邻域 |
Image Denoising Algorithm Using Nearest-Neighborhood Classification |
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| GONG Xiao-lin,MAO Rui-quan.Image Denoising Algorithm Using Nearest-Neighborhood Classification[J].Journal of Tianjin University(Science and Technology),2011,44(3). |
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| Authors: | GONG Xiao-lin MAO Rui-quan |
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| Institution: | GONG Xiao-lin,MAO Rui-quan(School of Electronic Information Engineering,Tianjin University,Tianjin 300072,China) |
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| Abstract: | To keep image details during image denoising,an effective algorithm was proposed to classify the data based on nearest-neighborhood method so as to get various close domains.In this way the salient edge and non-edge information can be divided effectively.This proposed method can improve the original method,which may blur the edge.An optimum threshold was estimated to de-noise the degraded image.The experiments show that the scheme can get better result than others. |
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| Keywords: | image denoising pulse coupled neural networks image segmentation nearest neighborhood |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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