| 基于分数阶微分差与高斯曲率滤波的边缘检测算法 |
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| 引用本文： | 张文坤,汪西原,宋佳乾.基于分数阶微分差与高斯曲率滤波的边缘检测算法[J].计算机工程,2019,45(2):213-219. |
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| 作者姓名： | 张文坤 汪西原 宋佳乾 |
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| 作者单位： | 宁夏大学 物理与电子电气工程学院,银川,750021;宁夏大学 物理与电子电气工程学院, 银川 750021;宁夏沙漠信息智能感知重点实验室, 银川 750021 |
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| 摘 要： | 应用梯度变化检测遥感图像纹理边缘信息时存在过检、漏检、错检和弱抗噪性等问题。为此,结合分数阶微分差和高斯曲率滤波,提出一种边缘检测算法。通过分数阶微分差运算对全色遥感图像的梯度场进行非线性增强,利用高斯曲率滤波平滑图像非线性扩散部分,并寻找正则化能量最速下降点,优化微分过程中的分数阶次和迭代次数,改善有噪图像的边缘信息提取质量。实验结果表明,该算法可抑制遥感图像纹理边缘提取过程中噪声非线性放大和扩散产生的背景伪噪声,保留图像纹理边缘信息,具有较好的图像增强和边缘检测效果。
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| 关 键 词： | 边缘检测 分数阶微分差 高斯曲率滤波 图像熵 峰值信噪比 |
Edge Detection Algorithm Based on Fractional Differential Difference and Gaussian Curvature Filtering |
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| ZHANG Wenkun,WANG Xiyuan,SONG Jiaqian.Edge Detection Algorithm Based on Fractional Differential Difference and Gaussian Curvature Filtering[J].Computer Engineering,2019,45(2):213-219. |
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| Authors: | ZHANG Wenkun WANG Xiyuan SONG Jiaqian |
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| Affiliation: | (School of Physics and Electronic-Electrical Engineering,Ningxia University,Yinchuan 750021,China;Ningxia Key Laboratory of Intelligent Sensing for Desert Information,Yinchuan 750021,China) |
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| Abstract: | ZHANG Wenkun;WANG Xiyuan;SONG Jiaqian(School of Physics and Electronic-Electrical Engineering,Ningxia University,Yinchuan 750021,China;Ningxia Key Laboratory of Intelligent Sensing for Desert Information,Yinchuan 750021,China) |
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| Keywords: | edge detection fractional differential difference Gaussian curvature filtering image entropy Peak Signal to Noise Ratio(PSNR) |
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