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Application of Adaptive Hybrid Filter Algorithm in Solar Battery Panels X-Ray Real-time-image System

机译:自适应混合滤波算法在太阳能电池板X射线实时图像系统中的应用

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Aiming at the problem of using traditional and single filtering method to remove mixed impulse noise and Gaussian noise, an adaptive hybrid filter algorithm based on the adaptive weighted median filter and the Gauss weighted mean filter is presented. The algorithm first detects the type of the noise and then applies the adaptive weighted median filter and the Gauss weighted mean filter to removing impulse noise and Gaussian noise, respectively. Finally the above-mentioned solution is used in solar battery panels X-Ray real-time image system. The result of experiment proves that this method has a good effect on filtering impulse noise mixed Gaussian noise.
机译:针对传统的单次滤波方法去除混合脉冲噪声和高斯噪声的问题,提出了一种基于自适应加权中值滤波和高斯加权均值滤波的自适应混合滤波算法。该算法首先检测噪声的类型,然后将自适应加权中值滤波器和高斯加权均值滤波器分别应用于去除脉冲噪声和高斯噪声。最终,上述解决方案被用于太阳能电池板的X射线实时图像系统中。实验结果表明,该方法对混合高斯噪声的脉冲噪声具有良好的滤波效果。

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