| 基于分数阶微分的高斯噪声图像信息提取算法 |
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| 引用本文： | 侯明亮. 基于分数阶微分的高斯噪声图像信息提取算法[J]. 计算机与现代化, 2010, 0(9): 5-8. DOI: 10.3969/j.issn.1006-2475.2010.09.002 |
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| 作者姓名： | 侯明亮 |
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| 作者单位： | 淮海工学院计算机工程学院,江苏,连云港,222005 |
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| 基金项目： | 江苏省高校自然科学基金资助项目 |
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| 摘 要： | 考虑分数阶微分对信号处理的性质与特点,提出一种基于分数阶微分的信息提取算法。首先针对各种系数高斯噪声的图像进行信息提取,并与Roberts、Prewitt、Sobel整数阶经典算子对图像信息提取的结果进行分析比较。实验证明,利用分数阶微分不但能提取整数阶算子的高频边缘信息,还能提取平滑区域的纹理信息,并对高斯噪声具有一定程度的抗噪性。
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| 关 键 词： | 高斯噪声 抗噪性 图像信息提取 分数阶微分 |
Research on Information Extraction Algorithm of Gaussian Noise Images Based on Fractional Order Differentiation |
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| HOU Ming-liang. Research on Information Extraction Algorithm of Gaussian Noise Images Based on Fractional Order Differentiation[J]. Computer and Modernization, 2010, 0(9): 5-8. DOI: 10.3969/j.issn.1006-2475.2010.09.002 |
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| Authors: | HOU Ming-liang |
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| Affiliation: | HOU Ming-liang (School of Computer Engineering,Huaihai Institute of Technology,Lianyungang 222005,China) |
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| Abstract: | Considering the trait of fractional order differentiation on signal processing,an information extraction algorithm based on fractional-order differentiation is put forward.To start with,by this means information extraction was carried out for Gaussian noise images with various coefficients,and then a comprehensive analysis and comparison is carried on with the other results of information extraction using the classical integral order operator,such as Roberts,Prewitt,Sobel and so on.Experiments demonstrate t... |
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| Keywords: | Gaussian noise noise immunity image information extraction fractional order differentiation |
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