Hyperspectral-Data-Classification

实现原始的JPEG图片编解码，不借助任何的第三方库，纯C++。(To achieve the original JPEG image decoding, without using any third-party libraries, pure C++.)

说明：  对图像中不同的颜色进行提取，从而实现图像分割和不同颜色处理(Extracting different colors from images)

基于图像互信息计算的图像配准方法，互信息为配准带来更高精度(Image registration method based on image mutual information calculation, mutual information brings higher precision to registration)

说明：  K-均值聚类算法，对数据进行聚类分析，可用于提取关键帧等。用matlab实现(K-means clustering algorithm, cluster analysis of data that can be used, such as key frame extraction. Using matlab to achieve)

) 使用分块的主成分分析方法(PCA)对人脸图像进行压缩编码。针对PCA方法计算量大的缺点,首先把问题转化成奇异值分解(SVD)问题,然后设计了特征空间的更新算法,通过递推,简化每一步计算的计算量,达到了实时编码的要求。 4) 在Windows平台下基于Video for Windows(VFW)接口开发了人脸视频图像编码和解码的实验系统,该系统实现了图像采集、图像显示、编码、解码等功能。() The use of sub-blocks of principal component analysis (PCA) on the human face image coding. PCA method for large defects, first of all the issues into a singular value decomposition (SVD) problem, and then design a feature space of the update algorithm, recursive, simplifying the calculation of the amount calculated at each step to achieve real-time encoding requirements. 4) In the Windows platform based on Video for Windows (VFW) interfaces, the human face image coding and decoding video experimental system, the system achieved image acquisition, image display, encoding, decoding functions.)

基于CCS开发平台，关于IT公司的TMS320DM642的开发实例（包括，串口、UART接口、图像灰度显示、图像阈值分割，高斯平滑）等(the program example based on CSS of IT MS320DM642 include GPIO UART Gaussscale Grayscale Threshold)

压缩感知重构算法，在经典的SP基础上进行的改进，提高了性噪比，以DWT为稀疏基。(Compressed sensing reconstruction algorithm, improved on the basis of the classic SP carried out to improve the signal to noise ratio, DWT is sparse groups.)

该源码为目标检测和跟踪算法 包括： 1. 静态背景下的背景预测法目标检测 2. 静态背景下帧间差分法目标检测 3. Mean Shift目标跟踪方法 4. 重心多目标跟踪方法 (The source code for target detection and tracking algorithm include: 1 Static background background prediction target detection 2 Static background frame difference method for target detection 3. Mean Shift tracking method 4 multi-target tracking methods focus)

说明：  n个点电荷电场线的matlab仿真 分别有1个 2个等（可以通过改变程序数字来得到相应的仿真结果）(Matlab simulation of N-point charge electric field lines)

介绍Opencv这个图像处理库环境下的GMM建模与EM算法，从数学的角度深入分析高斯建模和EM算法(Introduce the the Opencv this image processing GMM modeling the EM algorithm in the library environment, in-depth analysis from a mathematical point of the Gaussian model and the EM algorithm)