K-means代码

快速TV算法用于图像去模糊、图像去噪等，其中TV模式包括两种(TV went fast algorithm for image blur, image denoising, which includes two TV mode)

此程序用于画混沌系统的相图及其分叉图，使用时只需要写出相应的混沌微分方程，便可画出相应的图(This procedure for drawing the phase diagram of chaotic systems and its Poincare section, when used only need to write the corresponding chaotic differential equations, will be able to draw the corresponding graph.)

针对杂波环境下的多个机动目标跟踪问题, 本文将多模型概率假设密度 (Multiple-model probability hypothesis density, MM-PHD) 滤波器和平滑算法相结合, 提出了 MM-PHD 前向 – 后向平滑器. 为了避免引入复杂的随机有限集 (Random finite set, RFS) 理论, 本文根据 PHD 的物理空间 (Physical space) 描述法推导得到了 MM-PHD 平滑器的后向更 新公式. 由于 MM-PHD 前向–后向平滑器的递推公式中包含有多个积分(By integrating the multiple-model probability hypothesis density (MM-PHD) filter with the smoothing al- gorithms, an MM-PHD forward-backward smoother is proposed in this paper for tracking multiple maneuvering targets in clutter. To avoid use of complex random finite set (RFS) theory, the backward updated equation of the MM-PHD smoother can be derived according to the physical-space explanation of the PHD)

风水岭图像分割 Image Segmentation by Watershed(Image Segmentation by Watershed)

说明：  LSB(英文 least significant bit)即最低有效位。LSB加密是信息隐藏中最基本的方法。由于人们识别声音或图片的能力有限，因此我们稍微改动信息的某一位是不会影响我们识别声音或图片的。(LSB replace steganography)

说明：  选择一张灰度图片，添加高斯噪声并进行双边滤波(Select a gray image, add Gaussian noise and perform bilateral filtering)

可以用于图像分割的KNN分类器，简单好用！(knn classification)

自己编的基于小波变换的图像融合程序。可进行不同层数小波分解。(developed based on the wavelet transform image fusion procedures. Can be different floors wavelet decomposition.)

包内提供了Contourlet和Wavelet变换进行图像增强、去噪的各种算法和.m文件，的确是好东西。(Package provides a Contourlet and Wavelet Transform for image enhancement, denoising the various algorithms and. M file, it is a good thing.)

本程序是运用脉冲耦合神经网络（PCNN）算法进行图像分割的一个实例。基于PCNN的图像分割是一种图像像素相似度临近相似性的图像分割方法，已被广泛应用于图像平滑，分割及边缘检测等图像处理领域。(This program is an instance of the algorithm for image segmentation using pulse coupled neural network (PCNN). PCNN-based segmentation of an image pixel similarity near the the similarity image segmentation method has been widely used in image smoothing, segmentation and edge detection image processing applications.)