| 基于数学形态学的小波变换图像去噪方法研究 |
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| 引用本文： | 杨小平.基于数学形态学的小波变换图像去噪方法研究[J].桂林师范高等专科学校学报,2007,21(1):135-138. |
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| 作者姓名： | 杨小平 |
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| 作者单位： | 桂林工学院,电子与计算机系,广西,桂林,541004 |
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| 基金项目： | 桂林工学院青年教师扶持基金项目，广西区教育厅项目(桂教科研:200626124) |
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| 摘 要： | 数学形态学和小波变换在信号处理领域应用广泛,提出基于数学形态学的小波自适应算法进行图像去噪处理,通过实验证明该算法不仅可以对图像进行有效的去噪处理,而且能很好地保留原图像的细节特征,避免了常规算法的缺点,效果良好。
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| 关 键 词： | 图像去噪 数学形态学 小波变换 |
| 文章编号： | 1001-7070（2007）01-0135-04 |
| 修稿时间： | 2006-10-26 |
Resarch on Image Denoising Method based-on Mathematics Morphology and Wavelet Transform |
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| Yang Xiaoping.Resarch on Image Denoising Method based-on Mathematics Morphology and Wavelet Transform[J].Journal of Guilin College of Education,2007,21(1):135-138. |
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| Authors: | Yang Xiaoping |
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| Institution: | Department of Electronics and Computer Science, Guilin Uiversity of Technology, Guilin 541004, China |
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| Abstract: | The method of mathematics morphology and wavelet transform has been widely used in signal processing. Wavelet auto-adapted algorithm based on mathematics morphology is applied in image denoising, It can be proved that this algorithm can effectively wipe off image noises and original image detail characteristic is reserved well through experiment, then conventional algorithm flaws are avoided. |
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| Keywords: | Image denoising Mathematics morphology Wavelet transform |
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