文件名称:GaussianBlur
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- 上传时间:2014-11-02
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文件大小:1.1mb
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在图像预处理中,对图像进行平滑,去除噪声,恢复原始图像是一个重要内容。本文设计了一个平滑尺度和
模板大小均可以改变的高斯滤波器,用它对多幅加入各种噪声后的图像进行平滑,经过对各个结果图像的对比可知高斯滤波
对服从正态分布的噪声去除效果比较好,并且相比各个不同参数,在平滑尺度为2,模板大小为7 时效果最佳。-In the image pre-processing, image smoothing, noise removal, restore the original image is an important element. This paper presents a smooth scales and
Changing the size of the template can be a Gaussian filter, with the addition of various pieces of the image after the noise it is smoothed through the comparison of the respective results of the image shows the Gaussian filter
For normally distributed noise removal better, and compared to various parameters in the smoothing scale is 2, the template size is 7:00 best.
模板大小均可以改变的高斯滤波器,用它对多幅加入各种噪声后的图像进行平滑,经过对各个结果图像的对比可知高斯滤波
对服从正态分布的噪声去除效果比较好,并且相比各个不同参数,在平滑尺度为2,模板大小为7 时效果最佳。-In the image pre-processing, image smoothing, noise removal, restore the original image is an important element. This paper presents a smooth scales and
Changing the size of the template can be a Gaussian filter, with the addition of various pieces of the image after the noise it is smoothed through the comparison of the respective results of the image shows the Gaussian filter
For normally distributed noise removal better, and compared to various parameters in the smoothing scale is 2, the template size is 7:00 best.
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GaussianBlur/GaussianBlur.pdf
GaussianBlur
GaussianBlur
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