PHD

说明：  K近邻(KNN)平滑滤波器算法，包括椒盐噪声和高斯白噪声下平滑处理的结果(K-Near Neighbor (KNN) Smoothing Filter Algorithms, Including Smoothing Processing Results under Salt and Pepper Noise and Gauss White Noise)

用MATLAB实现的边缘提取函数，实现了sobel算子、canny算子，Robert算子、prewitt算子、marr算子(Using MATLAB to achieve the edge detection function, the realization of the sobel operator, canny operator, Robert operator, prewitt operator, marr Operator)

使用sift算法，找出图像的关键点，使用关键点作为匹配因子对两幅图像进行匹配，数据库中包含了丰富的可用图片库。(Use sift algorithm to find the image of the key points, key points to use as matching factor of two images match, the database contains a wealth of available gallery.)

分别使用灰度值变换和频域滤波的方法实现图像的伪彩色处理。在Matlab中编程实现(The use of gray value, respectively, transform and frequency domain filtering method of pseudo-color image processing. Programming in Matlab in)

基于opencv实时图像的2值化处理，一定要有摄像头(Opencv-based real-time image processing of two values, there must be a camera)

针对遥感图像可控参数误差造成的图像模糊，进行模糊核估计(Remote sensing images for image blur caused by controllable parameter error, blur kernel estimation)

说明：  利用最大间类差，最优阈值，迭代阈值等方法实现图像分割(The maximum class difference, optimal threshold and iterative threshold are used to realize image segmentation)

图像变换,处理图片的变换及反走样处理，包含ＶＢ和ＶＣ的源文件(Image transformation, to deal with the change of image and anti-aliasing processing, VB and VC contains source files)

利用梯度算法--最快下降梯度算法进行图像的边缘检测(Gradient algorithm- the fastest decline in the gradient algorithm for image edge detection)

国外高手编写的RANSAC算法工具箱，可以对二维和三维数据进行评估，内附例子。(Prepared by foreign experts RANSAC algorithm toolbox, can be two-dimensional and three-dimensional data to assess the attached example.)