Susan

说明：  利用MATLAB的图像用户界面GUI设计一个简单的菜单式图像处理系统。通过该程序实现对图像的简单处理、变换和去噪等功能，满足课程设计的要求。(A simple menu image processing system is designed by using the image user interface GUI of MATLAB. Through this program, the functions of image processing, transformation and denoising are realized, which meet the requirements of curriculum design.)

说明：  基于GEE平台的Landsat5 SR影像去云及NDVI计算(Landsat5 SR image cloud removal and NDVI computing based on GEE platform)

大名鼎鼎的GN：genesis的相关开发资料 做液晶电视，以及OSD字符叠加以及高级视频控制的朋友可以来看看，这些资料可是要和GN签订保密协议才会给的！(Famous GN: genesis of the relevant information to do the development of LCD TV, as well as the OSD characters, as well as advanced video overlay control friends can look at it, but such information should be entered into confidentiality agreements and GN will give!)

相变凝结蒸发，源项vof-udf，定义连续性方程，能量方程，动量方程中的质量源项，能量源项和动量源项(condensation and evaporation)

说明：  克里金插值（Kriging）在MATLAB中的实现（克里金工具箱）(Implementation of Kriging interpolation (Kriging) in MATLAB (Kriging toolbox))

编制通用的二值形态学运算（腐蚀和膨胀、开、闭和击中击不中变换）函数，函数可以处理不同的变换形式和不同类型的结构元素。并用你编制的形态学函数对一个二值图象进行处理。 用形态学击中击不中变换方法对图象进行细化处理。 实验图象：二值图象由一段文字组成，word_bw.bmp (The preparation of binary morphological operations (erosion and dilation, opening, closing and hit-miss transform) function, the function can handle the transformation of different forms and different types of structural elements. You prepared in morphology function of a binary image. Morphological hit-miss transform method of image refinement process. Experimental images: binary image by a paragraph of text, word_bw.bmp)

说明：  利用k-means算法进行图像分割，效果较好(Using k-means algorithm for image segmentation is better)

扩散方程的MATLAB代码：可用于图像平滑、去噪、滤波及图像的边缘处理等(Diffusion equation of the MATLAB code: can be used for image smoothing, denoising, image filtering and edge treatment, such as)

彩色图像处理，RGB分通道彩色显示，灰度显示，直方图均衡，假彩色图像合成(Color image processing, RGB color display sub-channel, grayscale display, histogram equalization, false color image synthesis)

DOG检测算子，能够构造高斯尺度空间，并检测其中的极值，从而得到有价值的特征点位置(DOG detection operator, the Gaussian scale space can be constructed, and tested one of the extremes, resulting in valuable feature position)