CD_Data_Processing

基于灰度和matlab编写的图像匹配源代码，运行效果不错(Prepared based on the gray and the image matching matlab source code, run the effect of good)

基于GEE平台，landsat影像的随机森立法土地覆盖分类(Land cover classification based on the random son legislation based on the GEE platform.)

说明：  snake模型 简单 可以修改迭代次数跟初始mask 挺不错的，可以改参数(snake model Simple can modify iterations with initial mask quite good can change parameters)

非常有用的平滑l0算法代码程序，实现信号的稀疏重构(Very useful for smoothing the l0 algorithm code procedures to achieve signal sparse reconstruction)

单尺度Retinex算法,ssr算法，matlab程序(Single scale Retinex algorithm, SSR algorithm, matlab program)

说明：  包括几种基于多项式插值的图像处理matlab代码，包括双三次插值，样条差值等(Includes several image processing based on polynomial interpolation matlab code, including double-cubic interpolation, spline difference, etc.)

简易二值化演示易语言源码，例程程序使用嵌套循环改变画板颜色演示了图像二值化的简单过程。(Simple binary demonstrate easy language source code , a routine procedure uses nested loop Sketchpad color change demonstrates the binary image of a simple process .)

针对分水岭算法存在的过分割问题以及VCH-F1切片图像的特点，提出一种能够有效消除局部极小值和噪声干扰的自动分割方法。首先比较彩色分量梯度图，选择分量图像的梯度信息，达到有效提取图像边缘信息的目的；然后提出基于多阈值分割的方法消除无效梯度信息；最后介绍了算法的步骤及结果。实验结果证明，通过该方法处理的梯度图像再进行分水岭算法处理，即使不进行区域合并也能达到很好的效果。(Watershed algorithm for over-segmentation problem of the existence of VCH-F1 as well as the characteristics of the image slice, a can effectively eliminate the local minimum value and noise automatic segmentation method. Comparing the first color component gradient map, select the quantity of image gradient information, achieve an effective extraction of image edge information purposes then made based on multi-threshold segmentation method to eliminate invalid gradient information Finally introduce the steps of the algorithm and results. Experimental results show that the adoption of the method of treatment of gradient watershed algorithm for image re-treatment, even if there is no regional merger will also achieve good results.)

说明：  使用mean shift方式增强图像对比度的一个小演示（开发平台：matlab7.0）(Using mean shift mode contrast-enhanced images of a small demo (Development Platform: matlab7.0))

APG算法，加速近端临近点算法，通过对子问题的调整，计算速度很快(APG algorithm, accelerated near the proximal point algorithm, by adjusting the sub-problems, fast calculation)