imag_improve_rgb1

说明：  经典的KSVD图像字典学习，matlab 代码，有注释，亲测可用(The classic KSVD image dictionary learning, matlab code, include notes, test available)

程序可以提取点云数据的特征点，提取三维散乱点云的边界(Program point cloud data can be extracted feature points extracted boundary of D Scattered Clouds)

本代码开发环境为Halcon，主要用于线结构光法提取光条中心！(The code development environment for Halcon, mainly used for line structured light extraction of the light strip center!)

冈萨雷斯数字图像处理第二版中的tofloat函数，原书配带的函数式p文件，此处已经转为M文件。(Gonzalez Digital Image Processing Second Edition tofloat function, a function of the original book equipped with p-type documents, here has been converted to M-file.)

区域生长 冈萨雷斯 matlab 集合了区域生长函数和使用过程文件(The region growing Gonzalez matlab collection of regional growth function and process of using file)

本程序包是关于图形处理和人脸识别的,包括人脸Gabor特征提取，canny算子，水线阈值方法等．大家可以一起参考(The package is on the graphics processing and face recognition, including face Gabor feature extraction, canny operator, waterline threshold methods. Together we can make reference)

可同时实现多幅图片的傅里叶能量谱统计与分析！得到相应通道能量的信息！(Multiple images to achieve the power spectrum of Statistics and analysis!)

很好用的三维重建软件，VisualSFM软件允许上传一系列图像，它从这些图像中找到每一个图像的特定特征，利用这些特征信息重建出3D模型的稀疏点云，而后还可进行稠密点云重建。(The VisualSFM software, a good 3D reconstruction software, allows uploading a series of images. It finds the specific features of each image from these images, and USES these feature information to reconstruct the sparse point cloud of the 3D model, and then it can reconstruct the dense point cloud.)

基于PCNN的特征提取,PCNN用于特征提取时，具体平移、旋转、尺度、扭曲等不变性，这正是许多年来基于内容的图像检索系统追求的目标，同时PCNN用于特征提取时，有很好的抗噪性。而且PCNN直接来自于哺乳动物视觉皮层神经的研究，具有提取图像形状，纹理，边缘的属性。用PCNN能很好地对图像进行签名，将二维的图像的特征提取成一维矢量签名。(Feature extraction of specified object is an important preprocessing stage in machine vision systems. In this paper, we present a novel hybrid feature extraction method using PCNN (Pulse Coupled Neural Network) and shape information. First, we use PCNN firing map train to formulate object’s time signature, then we use roundness of each firing map to formulate object’s shape information vector, the final feature matrix we got is combined time signature and roundness. We take correlations as our judge criteria in our experiments. It has been proved that the algorithm is not sensitivity with the rotation, scaling and translation of the object and is a useful method for target recognition applications.)

说明：  对数据的独立性进行分析，对数据的预处理（中心化和白化处理）(The independence of data analysis, data pre-processing (center-based and the whitening process))