Wienerfilter1

二维最大熵阈值分割法，较一维有很好的去噪效果(Two-dimensional maximum entropy threshold segmentation method, the more one-dimensional results have a good de-noising)

程序为读取图片并对图片进行边缘检测，先采用高斯滤波进行去噪，然后通过求梯度运算检测，非极大值抑制边缘检测，双阈值检测这三种方法，分别对图片进行边缘测，并对边缘检测后显示的图片进行对比。此程序对边缘检测有很大的参考价值。(Program to read the image and image edge detection, Gaussian filter to remove noises, and then detected by calculating the gradient operation, the non-maxima suppression edge detection, dual-threshold detection of these three methods, namely the picture edge test, and the rear edge detection to display image comparison. This program is great for edge detection reference value.)

图像分类程序，此图像分类采用 SIFT + Kmeans 聚类的方法，然后调用 MLP 对其特征进行分类处理，速度实现比较快，正确率高(Image classification procedures, the use of this image classification method SIFT+ Kmeans clustering, and then call the MLP classification of its features, faster speed to achieve the correct rate)

一种新的改进的LBP特征提取方法，采用多块比较的方法(a new LBP feature extraction method)

可对灰度及彩色图像进行压缩及解压缩，通过变量名可以实现基于不同方式（多级树集合分裂spiht，ezw,stw,wdr等）的压缩，形如wcompress( c ,X,SAV_FILENAME,COMP_METHOD)(The wcompress command performs either compression or uncompression of grayscale or truecolor images.)

水深遥感测量，自己收集的pdf论文资料。(Depth of remote sensing, their paper data collection.)

用SAE 深度学习方法做的高光谱图像分析的一个例子。里面有sae方法还有高光谱图像的特征提取过程。(One example of the depth of learning to do with SAE hyperspectral image analysis. There are sae method has hyperspectral image feature extraction process.)

视觉引导车路识别：灰度AGV路径识别；彩色AGV路径识别；HSI彩色空间的AGV路径识别；路径中心线的定位；Radon变换的AGV路径偏差检测(Vision Guided Vehicle Road Identification: gray AGV path identification color AGV path identification HSI color space of the AGV path identification path centerline positioning Radon transform of the AGV path deviation Detected)

这是我的大作业，作用是测试车流量并计数，使用高斯模型对车辆进行定位分割，已验证成功内附测试视频(This is my big job, the role is to test the traffic flow and counting, the use of the Gauss model of the vehicle positioning and segmentation, has been verified successfully included test video)

非局部平均，用来去除灰度图里面的噪声，效果明显(Probability Non-Local Means)