代码原理、要求及工具箱

數據繪圖時候有時候必須處理資料矩陣轉向，該編碼詳細說明如何處理矩陣在三維度空間下進行轉向，而不是利用Curve Fitting Tools(Data drawing sometimes has to deal with the data matrix steering, which details how to handle the matrix to steer in a three-dimensional space instead of using Curve Fitting Tools)

三维点云配准kd-tree搜索算法，用于特征点的搜索匹配(3 d point cloud registration kd- tree search algorithm, is used to search of feature point matching)

说明：  利用IDL语言编写程序 计算差值植被指数，包括波段的读取，波段数据的分块和指数计算(Using IDL language program to calculate the difference vegetation index, including the band read the sub-band data block and index calculation)

基于核函数的模糊C聚类均值（fcm）算法(FCM algorithm based on kernel function)

说明：  基于SURF算法实现图像特征提取与描述，使用RANSAC进行图像细配准(SURF algorithm was used to extract and describe image features, and RANSAC was used for image registration)

一种基于K均值的自然图像聚类方法，编程算法巧妙(Based on the natural images k-means clustering method, programming algorithm is clever)

Poission_image_editing对应的GUI程序，可实现图像的无缝融合。(Poission_image_editing corresponding GUI program can achieve the seamless integration of the image.)

视频图像处理，采用三帧差分法进行视频前景和背景的分离(Video image processing, inter-frame difference method of separating the foreground and background video)

包括canny，sobel，log等边缘检测的改进算法，使用效果良好(Including improved edge detection algorithms such as canny, sobel, log and so on, the application effect is good.)

改进的分水岭算法，利用基于重建的开闭算法，有效的解决了过分割问题，尤其适用与医疗血细胞的分割问题(Improved watershed algorithm, based on the reconstruction of the opening and closing algorithm, effectively resolved the issue of over-segmentation, in particular with the medical application of the division of blood cells)