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贝特拉米滤波器，能够保持图像的边缘信息，同时对背景进行平滑处理 (beltrami filter, to keep the edge information of the image, while the background is smoothed)

运用Soble,,Roberts算子,Prewitt算子,Log算子,Canny算子j进行边缘检测 (Using Sobel ,, Roberts operator, Prewitt operator, Log operator, Canny edge detection operator )

常规的中值滤波器，在噪声的密度不是很大的情况下效果不错。但是当概率出现的概率较高时，常规的中值滤波处理后，仍然具有噪声点，并丢失了细节和边缘，效果不是很好。 自适应中值滤波器可以尽可能的保护图像中细节信息，避免图像边缘的细化或者粗化。(The conventional median filter works well when the noise density is not very large. However, when the probability of probability is high, the conventional median filter still has noise points, and the details and edges are missing. The result is not very good. The adaptive median filter can protect details in the image as far as possible and avoid thinning or coarsening of the image edges.)

显著区域检测的一篇文章所带的测试算法，CVPR(Salient Region Detector CVPR 2009)

说明：  对影像进行SavitzkyGolay平滑，去除噪点(To smooth the image and remove the noise)

说明：  使用matlab编写的源程序 高斯噪声产生的源代码(prepared by the use of Matlab source Gaussian noise source)

两次利用大津法对图像进行分割，将前景与背景，白色区与背景分割开，并二值化。(Otsu method twice using image segmentation, the foreground and background, white background area and separate, and binary.)

利用PCA和模糊C均值相结合的方法实现图象的聚类(Using PCA and fuzzy C-means method of combining images to achieve the clustering)

内容为《基于偏微分方程的图像处理》一书的实验教程。 (Content as a )

说明：  基于小波分析的故障检测的matlab程序 已经使用过 可放心使用(Matlab program of fault detection based on wavelet analysis has been used safely)