Description: 提出了一种基于相似度函数的自适应加权中值滤波算法。该方法首先通过噪声检测确定图像中的噪声点,然后
根据窗口内噪声点的个数自适应地调整滤波窗口的尺寸,并根据相似度大小,巧妙地将滤波窗口内各个像素点自适应分
组并赋予相应的权重,最后对检测出的噪声点进行加权中值滤波。计算机模拟实验结果表明:该算法既能有效地滤除噪
声,又能较好地保护图像细节,比标准中值滤波具有更优良的滤波性能。-A similarity function based on adaptive weighted median filtering algorithm. The method is first detected through the noise of the noise of image points, and then under the window the number of points within the noise adaptive filter to adjust the window size, and in accordance with similarity of the size of filtering window cleverly various adaptive grouping pixels and give the appropriate weight, and finally to detect the noise points in the weighted median filter. The experimental results show that computer simulation: the algorithm can effectively filter out noise, but also to protect the image detail better than the standard median filter has better filter performance. Platform: |
Size: 421888 |
Author:陈卿 |
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Description: 自适应型中心加权的中值滤波器.rar希望研究去噪的能用的上！-Self-Adaptive center-weighted median filter. Rar hoped that the study can be used in the de-noising! Platform: |
Size: 1180672 |
Author:张凤春 |
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Description: 用matlab对lenna图像进行处理，方法是自适应加权中值滤波，自己写的。-Lenna with matlab image processing of the method is adaptive weighted median filter, write your own. Platform: |
Size: 1024 |
Author:hetao |
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Description: 输入一个图像，对其进行边缘检测，灰度处理，自适应滤波，自适应边缘检测，中值滤波，加权中值滤波，均值滤波，加高斯噪声等处理-Enter an image, its edge detection, grayscale processing, adaptive filtering, adaptive edge detection, median filtering, the weighted median filter, mean filter, plus Gaussian noise process
Platform: |
Size: 5158912 |
Author:刘易 |
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Description: 针对传统中值滤波算法的优缺点,提出了一种基于相似度函数的自适应加权中值滤波算法.-Abstract：According to excellence and shortcoming of conventional median filter algorithm，an algorithm called adaptive weighted median filter algorithm based on similarity function is proposed Platform: |
Size: 178176 |
Author:邱赛男 |
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Description: 针对传统中值滤波算法的优缺点，提出了一种基于相似度函数的自适应加权中值滤波算法。该算法首先通过噪声检测确
定图像中的噪声点，然后根据窗口内噪声点的个数自适应地调整滤波窗口的尺寸，再根据相似度大小，巧妙地将滤波窗口内各个
像素点按一定的规律自适应地分组并赋予每组像素点相应的权重，最后采用加权中值滤波算法对检测出的噪声点进行滤波处理。
计算机模拟实验结果表明：该算法既能有效地滤除噪声，又能较好地保护图像细节，滤波性能比传统中值滤波算法更理想。
关键词：加权中值滤波；脉冲噪声；细节保护；自适应-Abstract：According to excellence and shortcoming of conventional median filter algorithm，an algorithm called adaptive weighted
median filter algorithm based on similarity function is proposed.The method works in this way：Firstly，noise detection is employed
to determine noise points in image，then the size of filtering window is adaptively adjusted according to the number of noise
points，and the pixels are adaptively grouped in an ingenious way based on the similarity and weight value of every pixels is
calculated adaptively.Finally，a new weighted median image smoothing algorithm is used to filter noise pixels.The simulation experiment
shows that this algorithm both may effectively eliminate the noise，and may protect image detail well.Therefore it has
better filtering performance than the conventional median filter algorithm.
Key words：weighted median filter； impulse noise；detail preserving；adaptive Platform: |
Size: 172032 |
Author:王松林 |
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Search - adaptive weighted median filter