kmeans-segment

说明：  李春明提出的无需水平集初始化的思想是图像分割的一个重大突破，重庆大学的何传江教授对该算法进行了改进，里面是我的实现算法(Li Chunming s no need to initialize the idea of ​ ​ the level set image segmentation is a major breakthrough, Chongqing University, Professor He Chuanjiang to improve the algorithm, which is my algorithm )

关于自适应粒子滤波，我觉得很好用，贝叶斯滤波适合非线性和非高斯环境，在粒子滤波基础上 又加改进(About adaptive particle filter, I feel very good, a bayesian filter for nonlinear and non-gaussian environment, particle filter in again on the foundation and improvement)

软硬阈值及软硬阈值折中法对bumps信号去噪，另外包含信噪比以及均方误差的求解。(Soft and hard threshold and soft and hard threshold compromise the bumps signal denoising, the other contains the signal to noise ratio and mean square error to solve.)

经典数字图像处理算法仿真，包括图像的傅里叶滤波及压缩，图像的DCT高通、低通滤波，图像直方图均衡化，图像平滑与锐化，图像的模糊化，哈夫曼编码等，以及GUI图形化界面。(Classic digital image processing algorithm simulation, including Fourier filtering and image compression, image DCT high-pass, low-pass filtering, image histogram equalization, image smoothing and sharpening, blurring the image, Huffman coding, as well as GUI graphical interface.)

相位恢复算法,利用恢复图像在时域必须是正实值以及正逆傅里叶变换进行恢复(phase retrieve)

snake算法的c源代码,一般snake算法可以用于图像的边缘检测,是一种比较新的方法(snake algorithm c source code, the general snake algorithm can be used to image edge detection, is a relatively new approach)

针对图像进行快速傅里叶变换，方便进行频频分析与处理。(Fast Fourier transform for the image, to facilitate frequent analysis and processing.)

基于灰度矩的亚像素边缘检测，零件边缘提取(Subpixel edge contour extraction)

说明：  利用小波变换技术实现，最简洁的图像融合例子(image fusion.The simplest example of image fusion using wavelet transform technology.)

马尔科夫随机场模型程序。已经运行过了，可以使用(Markov random field model program. Has been run, you can use)