soft_cast

此算法为基于k-means聚类的非局部均值快速去噪算法，方法便捷有效，可保持边缘信息(this is a fast edge-preserving denoising method based on non-local means method with k-means clustering)

图像配准的源程序，matlab编写的，试试看(image registration source, prepared by the Matlab Try)

本程序是用似然比检验的方法进行profile中的变点检测(This procedure is used likelihood ratio test method of change point detection profile)

说明：  基于引导滤波的图像信息分层算法，可实现高低频信息分离，分段处理功能(The image information hierarchical algorithm based on guided filtering can realize the separation of high and low frequency information and the segmentation processing function.)

人群密度估计，导入视频，生成一帧一帧的图片，并判断密度是否超过阈值，超过的报警。(Crowd density estimation, the introduction of video, generate a frame of pictures, and determine whether the density exceeds the threshold, more than the alarm.)

基于像素点的全局阈值法求图像的分割 实现方法有五种： 最小极值法，最优阈值法，最大方差方法，最大熵法，迭代法(Pixel-based global threshold method for image segmentation method there are five: the smallest extreme value method, the optimal threshold method, the largest variance method, the maximum entropy method, iterative method)

基于retinex理论的图象增强处理，一种新型的算法，效果挺好(Based on the Retinex theory of image enhancement processing, a new type of algorithm, the effect of good)

说明：  HEBBHEDSIHERMSHERSIHE 可直接运行的直方图增强算法。(HEBBHEDSIHERMSHERSIHE can be directly run by histogram enhancement algorithm.)

该算法首先通过字典学习得到含噪图像的冗余字典，然后对相似的图像块进行聚类构成块群，并通过迭代收缩和L1正则化约束，对同类的图像块在字典上进行稀疏表示，以达到降噪的目的。实验结果表明，在常规的图像处理上，本文提出的算法能较好的保留图像的结构信息，与K-SVD和BM3D等现有的流行算法相比，具有更高的峰值信噪比（PSNR）(It firstly get the redundant dictionary of a noised image by dictionary learning.Then,the image patches are gathered according to their similarities.Meanwhile,the similar patches get sparse representation showed in dictionaries by iterative shrinkage and L1 regularization constraints and eventually the image is restored and noise is removed.The experimental results indicate that the proposed algorithm can well preserve the structure information of the common image with a higher Peak Signal to Noise Ratio(PNSR),compared with state-of-the-art algorithms,such as K-SVD and BM3D)

说明：  对常见的输电线路钢化玻璃绝缘子识别的研究(Identification of toughened glass insulator for transmission line)