| 一种基于统计特性的邻域均值滤波算法 |
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| 引用本文： | 张旭,陈树越. 一种基于统计特性的邻域均值滤波算法[J]. 科技情报开发与经济, 2005, 15(2): 146-147 |
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| 作者姓名： | 张旭 陈树越 |
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| 作者单位： | 中北大学电子信息工程系,山西太原,030051 |
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| 摘 要： | 在对传统均值滤波研究的基础上，提出了一种改进的数字图像均值滤波算法。该算法经实验证明在滤除数字图像高斯噪声币口随机散点噪声时较传统方法有更好的效果，得到的图像边缘清晰。同时，还尝试将这种改进算法币口传统算法相结合以求在增强图像边缘保护效果的同时使图像同态区域得到更好的平滑。
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| 关 键 词： | 均值滤波 图像去噪 高斯噪声 边缘保持 |
| 文章编号： | 1005-6033-(2005)02-0146-02 |
| 修稿时间： | 2004-10-22 |
A Neighborhood Mean Filter Algorithm Based on Statistical Features |
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| ZHANG Xu,CHEN Shu-yue. A Neighborhood Mean Filter Algorithm Based on Statistical Features[J]. Sci-Tech Information Development & Economy, 2005, 15(2): 146-147 |
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| Authors: | ZHANG Xu CHEN Shu-yue |
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| Abstract: | Based on the classical mean filter, this paper puts forward an improved mean filter digital image algorithm. Proved by tests, this method shows better performance than that of the traditional method in reducing the Guass noise and random dot noise of digital image and preserves the clear image edges, and tries to combine this new method with the classical algorithm to smooth the homogenous region of the disposed image at faster speed. |
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| Keywords: | mean filter image denoising Guass noise edge preserving |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
