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基于K均值算法和互信息熵差的算法，可以有效地确定分类数,从而该算法对医学图像进行自动优化分割。(K means algorithm based on entropy and mutual information algorithms, can effectively determine the classification number, so that the algorithm for automatic optimization of medical image segmentation.)

说明：  Custom Link Library example source code

基于字典学习和矩阵低秩稀疏分解的SAR图像处理新方法，拓展了低秩稀疏分解的应用领域，有很好的应用前景。(Dictionary Learning and Low-rank Sparse Matrix Decomposition for Sparsity-driven SAR Image Reconstruction)

It initializes the entire image processing. The simulation parameters can be changed in this main file.

把图像导入后，可以实现对图像的huffman编码(Import the images, you can realize the image of the huffman encoding)

大面积破损的基于样本块匹配的纹理合成修复图像(Large area damaged texture synthesis restoration image based on sample block matching)

说明：  SVAG图形库, linux下面运行的图形库程序(SVAG graphics library, linux graphics library running the following procedure)

存取图像字段 数字图像的存取 将图像转化为数字信息(Access image field )

说明：  这个文件中包含了三种图像相似度的计算方法，分别是灰度分布计算方法、颜色分布直方图计算方法、还有结构相似度SSIM计算方法。(This file contains three image similarity calculation methods, namely, gray distribution calculation method, color distribution histogram calculation method, and structure similarity SSIM calculation method.)

SAR影像cloude分解，提取极化信息(PolSAR cloude decomposition)