| 改进的自适应均值滤波算法及应用 |
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| 引用本文： | 赵建珍,董增寿.改进的自适应均值滤波算法及应用[J].太原科技大学学报,2010,31(1):34-37. |
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| 作者姓名： | 赵建珍 董增寿 |
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| 作者单位： | 太原科技大学电子信息工程学院,太原,030024 |
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| 基金项目： | 山西省自然科学基金项目 |
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| 摘 要： | 燃煤锅炉的燃烧过程复杂且不稳定,监视系统的图像可能受到各种噪声的干扰,针对此问题,提出一种改进的自适应均值滤波算法。此算法利用自适应阈值和图像的全局统计特性对滤波系数加以优化。实验结果表明,该方法可以更有效地减少噪声,并可以保护图像的边缘信息。由于阈值选取具有自适应性,可推广应用到其它去噪领域。
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| 关 键 词： | 均值滤波 自适应阂值 统计特性 |
Improved Means of Adaptive Filtering Algorithms and Applications |
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| ZHAO Jian-zhen,DONG Zeng-shou.Improved Means of Adaptive Filtering Algorithms and Applications[J].Journal of Taiyuan University of Science and Technology,2010,31(1):34-37. |
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| Authors: | ZHAO Jian-zhen DONG Zeng-shou |
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| Institution: | ZHAO Jian-zhen,DONG Zeng-shou(School of Electronic Information Engineering,Taiyuan University ofScience , Technology,Taiyuan 030024,China) |
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| Abstract: | Coal-fired boiler combustion process is complex and unstable.The monitoring system image includes a lot of noise signals from different hands.In allusion to this question,an improved algorithm for the adaptive mean filter is proposed.Resuls show that this method applies a new algorithm based on adaptive threshold and characteristic of the whole image to optimize coefficients of filter,which can suppress noise efficiently and preserve edge details of image at the same time.Because of the adaption of the thre... |
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| Keywords: | average filter adaptive threshold statistic characteristic |
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