SVM算法

立体视觉代码。主要过程包括：harris角点检测，zncc最优策略匹配，扩散得到更多特征对应，计算disparity和对应颜色值。另外提供了两幅图片以及对应的特征匹配的结果和disparity图像。(Three-dimensional visual codes. The main process includes: harris corner detection, zncc optimal strategy for matching, the proliferation of more features of the corresponding calculation of disparity and the corresponding color value. Also provides a picture and two corresponding feature matching results and disparity images.)

应用harris算子进行角点检测，然后利用相关性检测得到匹配焦点，然后进行图像的重采样，适于对于彩色图像的处理，对于灰度图像，只要将harris算子检测时的图像从彩色道灰度图像的语句去掉即可(Application of operator harris corner detection, and then make use of relevant test match to be the focus, and then carried out resampling images, suitable for color image processing, for gray-scale images, as long as the operator will harris Detect when the image from color Road gray-scale images can be removed from the statement)

说明：  实现图像的清晰分割，效果明显,基于图像灰度-梯度构造的二维直方图，在此基础上计算目标与背景的二维Renyi熵(It can handle more types of images and get more accurate shape of the image edgee that pixels gradient information in combination with parameter of Renyi entropy which is adjustable)

根据图像的边界进行轮廓跟踪来获取图像的外轮廓线(The image of the contour tracking to obtain an image of the outer boundary contour)

说明：  文献 基于灰度-梯度共生矩阵的视网膜血管分割方法(Literature based on the gray- the gradient co-occurrence matrix of the retinal blood vessel segmentation method)

说明：  在google earth engine云平台对影像进行自动分类提取，需要手动输入样本及研究区(Automatic image classification and extraction on Google Earth engine cloud platform requires manual input of samples and research areas)

RLE压缩算法,对.bmp格式文件进行操作。使用MFC编制界面，可读入位图，压缩后保存位图并显示。(RLE compression algorithm, bmp format file operation. Use the MFC preparation interface, readable into the bitmap compressed to save a bitmap display.)

说明：  使用GDAL的c#版本读取栅格图 gdal文件已经编译完成(Use C version of Dgal to read raster)

指纹识别算法，开源，十分有用，是matlab语言编写的，直接可以用再做修改(about matching，very useful )

多类图像特征结合上下文信息进行目标识别（分类、分割）(Many types of image features combined with context information for target identification (classification, segmentation))