HUinvmoments

完成对视频帧的四叉树分割，在纹理复杂处分割块较小，在纹理平坦处分割较大(Complete quadtree segmentation of video frames, complex area in texture segmentation smaller, flat larger regional segmentation block in texture)

采用多孔trous算法matlab代码，变了好长时间，大家可以参考一下(porous trous algorithm using Matlab code, changed a good long time, we can take a look)

基于相似度的图像质量评价算法Structural SIMilarity (SSIM) index的实现。(This is an implementation of the algorithm for calculating the Structural SIMilarity (SSIM) index between two images. Please refer to the following paper: Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, "Image quality assessment: From error visibility to structural similarity" IEEE Transactios on Image Processing, vol. 13, no. 4, pp.600-612, )

System Generator中图像分割算法建模(Image segmentation algorithm for modeling in the System Generator)

实现了Chan－Vese算法，参考文献active contour without edges, 图像处理方面引用率最高的文献之一(Realize the Chan-Vese algorithm, reference active contour without edges, image processing, to quote one of the highest rates of the literature)

说明：  自己编写的图像腐蚀与膨胀matlab代码，经试验证明与matlab中自带的腐蚀和膨胀函数运行效果相同，可供初学图像处理的同学参考使用。(The image corrosion and expansion matlab code written by myself has been proved to be the same as the corrosion and expansion function of the matlab. It can be used by students who are ready for beginner image processing.)

基于傅里叶梅林变换亚像元图像配准程序，可以运行。(Fourier Mellin transform based sub-pixel image registration process, you can run.)

c++语言或MATLAB编程对256×256的灰度图像进行8×8DCT变换，对变换后的结果进行处理： 采用区域编码和阈值编码方法实现图像压缩，保留 50％ 的系数(区域编码保留前 50%个系数，阈值编码保留 50%的大系数）； 再反变换后，对比原始图像和处理后的图像。(C++ or MATLAB programming performs 8 * 8DCT transform on 256 * 256 grayscale images, processing the transformed results: The region coding and threshold coding are used to compress the image, and the coefficient of 50% is retained (the first 50% coefficients are reserved for the region code and the large coefficient of the threshold code is retained by 50%). After inverse transformation, the original image and the processed image are compared.)

Image AND Video Segmentation Current Status

用于图像去噪处理Tikhonov模型，仅供用于学习参考(Tikhonov model for image denoising)