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capout
- 均值滤波能滤除一些噪声,但是会使的边缘模糊,不能很好的保持变换特性-Median filter can filter out some noise, but can make the edges of the fuzzy, cannot remain good transformation characteristics
任务程序修改后成品
- MFC界面，可实现图像的缩放，给图像添加高斯噪声，高斯模糊，控件的滚动条事件，Dpi的调节等(MFC interface, you can achieve image scaling, add Gauss noise to the image, Gauss fuzzy, control scroll bar events, Dpi adjustment, etc.)
Fuzzrinmealenc
- Fuzzy c-means (FCM) clustering has been widely used in image segmentation. However, in spite of its computational efficiency and wide-spread prevalence, the FCM algorithm does not take the spatial information of pixels into consideration, and hence m
tuxiangruihua
- 对图像进行锐化处理，包括加噪和模糊处理，然后进行维纳滤波进行图像复原(The image is sharpened, including noise and fuzzy processing, and then Wiener filtering is used to restore the image.)
线性滤波
- 线性低通滤波器最常用的是线性平滑滤波器，这种滤波器的所有系数都是正的，也称邻域平均。邻域平均减弱或消除了傅立叶变换的高频分量，对噪声的消除有所增强，但是由于平均而使图像变得更为模糊，细节的锐化程度逐渐减弱。 下面使用不同的平滑模板对图像进行滤波：（二维线性滤波fliter2）(The most commonly used linear low-pass filter is the linear smoothing filter, which has all the positive coeff
中值滤波
- 中值滤波可以保留目标边缘，这是中值滤波器相对于均值滤波器的最大优势。中值滤波具有去噪的性能，可以消除孤立的噪声点，可以用来减弱随机干扰和脉冲干扰，但是边缘不模糊。(Median filter can retain the target edge, which is the maximum advantage of median filter compared to mean filter. The median filter has the performance of denoising, w
FLICM_Matlab
- 利用FLICM算法进行图像聚类的matlab程序代码，相对于FCM（模糊C均值聚类）算法具有较强的抗噪能力。(FLICM image clustering algorithm matlab code, with respect to FCM algorithm (Fuzzy C-means Clustering) it has a strong anti-noise ability.)
BCFCM_version_1
- Bias-corrected fuzzy c-means (BCFCM) clustering compensates for two sources of uncertainty by modeling noise and bias fields
fcm
- 一种快速的抗噪声模糊C均值图像分割算法 图像分割就是把图像分成若干个特定的、具有独特性质的区域并提出。该算法结合像素灰度值相似度和隶属度构造了一个新的空间函数。该空间函数用于更新成员关系，而成员关系又用于迭代地获取聚类中心。所提出的算法可以在较少的迭代次数下获得理想的分割结果，有效地降低了噪声的影响。(A fast anti noise Fuzzy C-Means Image Segmentation AlgorithmImage segmentation is to divide the i