CS_Lenabmp

用于图像的纹理分割，适合用于图像的纹理分割和图像特征分类，并且是基于MATLAB实现的纹理特征分割。(For image texture segmentation, texture suitable for image segmentation and image feature classification, and is based on the MATLAB implementation of the texture features segmentation.)

image processing and image statistics

代码使用全相位双正交变换（APBT）稀疏表示图像，主函数为test.(The code uses the all phase biorthogonal transform (APBT) sparse representation of the image, the main function for the test.)

基于样本的纹理合成，采取点替换的方法，可以合成brodatz类的纹理。采取的方法是先对图像分析，然后合成。(Texture synthesis based on samples taken at the replacement of the method of texture synthesis brodatz category. Approach taken is to firstly image analysis, and then synthesis.)

根据相机的指向数据，实现对亮星星表9110颗星在探测器上的模拟投影，得到序列星图(According to the data of the camera, to achieve the Bright Star Catalogue 9110 stars on the detector simulation projection to obtain sequence star map)

1、参数初始化； 2、形成边界削波数据； 3、波场初始化； 4、Zmax层波场延拓到深度Zmax-1； 5、Zi+1层波场延拓到深度Zi； 6、重复5，从Iz Nz-1开始，直到Iz 1，得测线上的频率—空间域波场； 7、频率-空间域波场对频率做反傅里叶变换，得时间-空间波场； (1, parameter initialization 2, the formation of boundary clipping data 3, wave field initialization 4, Zmax layer wave field extended to the depth of Zmax-1 5, Zi+1 layer wave field extended to the depth of Zi 6, repeat 5, starting Iz Nz-1 until Iz 1, the frequency of the test line- spatial domain wave field 7, frequency space domain wave field to frequency inverse Fourier transform, time- space field )

高光谱分析工具包 用于matlab环境中 可以比较省事实力的对高光普图像分析 很实用(hyperspectral analysis)

基于多分辨率的NSST变换工具箱，用于图像融合效果好，且速度优于NSCT。(Based on Multi-resolution NSST conversion kit for image fusion effect is good, and the speed is better than NSCT.)

基于SVD和混沌加密的DWT。程序里包含了直方图攻击，锐化，剪切，高斯噪声等攻击。(Based the SVD and chaotic encryption DWT. The program contains a histogram attack, sharpening, shear, Gaussian noise attack.)

图像处理标准测试图片库，用于数字图像处理各种仿真实验。(Standard test image gallery image processing to digital image processing all kinds of simulation experiments. )