| 基于改进形态学运算的图像去噪自适应算法研究 |
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| 引用本文： | 许致火,何建新,朱幼莲.基于改进形态学运算的图像去噪自适应算法研究[J].成都信息工程学院学报,2009,24(1). |
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| 作者姓名： | 许致火 何建新 朱幼莲 |
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| 作者单位： | 1. 成都信息工程学院电子工程学院,四川,成都,610225
2. 江苏技术师范学院电气信息工程学院,江苏,常州,213001 |
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| 摘 要： | 形态学的腐蚀和膨胀两种基本运算固有特征,使其在去除图像噪声的同时,造成图像信息严重丢失.针对这种现象,首先把传统腐蚀膨胀的极值运算改进为中值运算;其次对结构元素进行改进和优化,定义单位结构元素,利用数学方法推导找到零方阵的单位结构元素;最后在这些研究工作的基础上提出一种新的自适应图像去噪算法.对比实验表明:新方法比传统形态学和中值滤波算法在低信噪比环境下具有明显优势,因此在图像去噪中具有广泛的应用前景.
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| 关 键 词： | 数学形态学 图像去噪 单位结构元素 |
An image de-noising adaptive algorithm based on modified mathematical morphology operation |
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| XU Zhi-huo,HE Jian-xin,ZHU You-lian.An image de-noising adaptive algorithm based on modified mathematical morphology operation[J].Journal of Chengdu University of Information Technology,2009,24(1). |
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| Authors: | XU Zhi-huo HE Jian-xin ZHU You-lian |
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| Institution: | XU Zhi-huo1,HE Jian-xin1,ZHU You-lian2(1.School of Electronic Engineering,CUIT,Chengdu 610225,China,2.College of Electronic Engineering,JSTU,Changzhou 213001,China) |
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| Abstract: | Two basic operations of the morphology,erosion and dilation,can be used to remove the image noise at the cost of severe information loss because of the inherent characteristics of these operations.Hence the morphology operation extracts the median instead of the traditional operations-minimum and maximum. Then the unit of structuring element is defined and the structuring element unit of zero matrices is deduced and found by mathematical method.Based on these work an adaptive image de-noising algorithm is p... |
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| Keywords: | mathematical morphology image de-noising structuring element unit(SEU) |
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