The theory that chaos system can change non-gauss noise to gauss process is presented.
提出了混沌系统将非高斯信号转变为高斯过程的理论。
This method adopts self-adaptive gauss filter to process original curve smoothly to eliminate noise effects, and proposes a fragrmented algorithm that is adaptive to circular arc.
该方法采用自适应高斯滤波器对原始曲线进行平滑处理以消除噪声影响，并提出了一种适合于圆弧曲线拟合的分段算法。
This paper evaluated median filter in company with wavelet transformation to process X-ray image that contained Gauss noise and impulse noise at the same time.
利用中值滤波和基于小波变换的去噪声处理对同时含有高斯噪声和脉冲噪声的X线图像降噪方法进行探讨。
But after the Gauss filter process, the threshold image is changed into smooth one which has smaller burr and has better connectedness.
提出一种“高斯滤波”的方法去除这些白点，使二值化图像平滑、少毛刺，并具有较好的连通性。
But after the Gauss filter process, the threshold image is changed into smooth one which has smaller burr and has better connectedness.
提出一种“高斯滤波”的方法去除这些白点，使二值化图像平滑、少毛刺，并具有较好的连通性。
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